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BT 34.016 1124.422 Td /F1 19.5 Tf [(Approximating Integrals Via Monte Carlo And Deterministic Methods)] TJ ET
BT 34.016 1087.321 Td /F1 9.8 Tf [(When somebody should go to the ebook stores, search creation by shop, shelf by shelf, it is essentially problematic. This is why we allow the ebook compilations in this website. It )] TJ ET
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BT 34.016 984.897 Td /F1 9.8 Tf [(Monte Carlo and Quasi-Monte Carlo Methods 2012)] TJ ET
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BT 255.107 984.897 Td /F1 9.8 Tf [( Josef Dick 2013-12-05 This book represents the refereed proceedings of the Tenth International Conference on Monte Carlo )] TJ ET
BT 34.016 972.992 Td /F1 9.8 Tf [(and Quasi-Monte Carlo Methods in Scientific Computing that was held at the University of New South Wales \(Australia\) in February 2012. These biennial conferences are major )] TJ ET
BT 34.016 961.088 Td /F1 9.8 Tf [(events for Monte Carlo and the premiere event for quasi-Monte Carlo research. The proceedings include articles based on invited lectures as well as carefully selected contributed )] TJ ET
BT 34.016 949.183 Td /F1 9.8 Tf [(papers on all theoretical aspects and applications of Monte Carlo and quasi-Monte Carlo methods. The reader will be provided with information on latest developments in these )] TJ ET
BT 34.016 937.278 Td /F1 9.8 Tf [(very active areas. The book is an excellent reference for theoreticians and practitioners interested in solving high-dimensional computational problems arising, in particular, in )] TJ ET
BT 34.016 925.373 Td /F1 9.8 Tf [(finance, statistics and computer graphics.)] TJ ET
BT 34.016 913.469 Td /F1 9.8 Tf [(Monte Carlo Methods and Models in Finance and Insurance)] TJ ET
BT 292.508 913.469 Td /F1 9.8 Tf [( Ralf Korn 2010-02-26 Offering a unique balance between applications and calculations, Monte Carlo Methods and )] TJ ET
BT 34.016 901.564 Td /F1 9.8 Tf [(Models in Finance and Insurance incorporates the application background of finance and insurance with the theory and applications of Monte Carlo methods. It presents recent )] TJ ET
BT 34.016 889.659 Td /F1 9.8 Tf [(methods and algorithms, including the multilevel Monte Carlo method, the statistical Romberg method, and the Heath–Platen estimator, as well as recent financial and actuarial )] TJ ET
BT 34.016 877.754 Td /F1 9.8 Tf [(models, such as the Cheyette and dynamic mortality models. The authors separately discuss Monte Carlo techniques, stochastic process basics, and the theoretical background )] TJ ET
BT 34.016 865.850 Td /F1 9.8 Tf [(and intuition behind financial and actuarial mathematics, before bringing the topics together to apply the Monte Carlo methods to areas of finance and insurance. This allows for )] TJ ET
BT 34.016 853.945 Td /F1 9.8 Tf [(the easy identification of standard Monte Carlo tools and for a detailed focus on the main principles of financial and insurance mathematics. The book describes high-level Monte )] TJ ET
BT 34.016 842.040 Td /F1 9.8 Tf [(Carlo methods for standard simulation and the simulation of stochastic processes with continuous and discontinuous paths. It also covers a wide selection of popular models in )] TJ ET
BT 34.016 830.135 Td /F1 9.8 Tf [(finance and insurance, from Black–Scholes to stochastic volatility to interest rate to dynamic mortality. Through its many numerical and graphical illustrations and simple, insightful )] TJ ET
BT 34.016 818.231 Td /F1 9.8 Tf [(examples, this book provides a deep understanding of the scope of Monte Carlo methods and their use in various financial situations. The intuitive presentation encourages )] TJ ET
BT 34.016 806.326 Td /F1 9.8 Tf [(readers to implement and further develop the simulation methods.)] TJ ET
BT 34.016 794.421 Td /F1 9.8 Tf [(Current Air Quality Issues)] TJ ET
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34.016 792.812 m 145.088 792.812 l S
BT 145.088 794.421 Td /F1 9.8 Tf [( Farhad Nejadkoorki 2015-10-21 Air pollution is thus far one of the key environmental issues in urban areas. Comprehensive air quality plans are )] TJ ET
BT 34.016 782.516 Td /F1 9.8 Tf [(required to manage air pollution for a particular area. Consequently, air should be continuously sampled, monitored, and modeled to examine different action plans. Reviews and )] TJ ET
BT 34.016 770.612 Td /F1 9.8 Tf [(research papers describe air pollution in five main contexts: Monitoring, Modeling, Risk Assessment, Health, and Indoor Air Pollution. The book is recommended to experts )] TJ ET
BT 34.016 758.707 Td /F1 9.8 Tf [(interested in health and air pollution issues.)] TJ ET
BT 34.016 746.802 Td /F1 9.8 Tf [(Monte Carlo and Quasi-Monte Carlo Methods 2000)] TJ ET
0.195 w 0 J [ ] 0 d
34.016 745.193 m 255.107 745.193 l S
BT 255.107 746.802 Td /F1 9.8 Tf [( Kai-Tai Fang 2011-06-28 This book represents the refereed proceedings of the Fourth International Conference on Monte )] TJ ET
BT 34.016 734.897 Td /F1 9.8 Tf [(Carlo and Quasi-Monte Carlo Methods in Scientific Computing which was held at Hong Kong Baptist University in 2000. An important feature are invited surveys of the state-of-the-)] TJ ET
BT 34.016 722.993 Td /F1 9.8 Tf [(art in key areas such as multidimensional numerical integration, low-discrepancy point sets, random number generation, and applications of Monte Carlo and quasi-Monte Carlo )] TJ ET
BT 34.016 711.088 Td /F1 9.8 Tf [(methods. These proceedings include also carefully selected contributed papers on all aspects of Monte Carlo and quasi-Monte Carlo methods. The reader will be informed about )] TJ ET
BT 34.016 699.183 Td /F1 9.8 Tf [(current research in this very active field.)] TJ ET
BT 34.016 687.278 Td /F1 9.8 Tf [(Introducing Monte Carlo Methods with R)] TJ ET
BT 207.956 687.278 Td /F1 9.8 Tf [( Christian Robert 2010 This book covers the main tools used in statistical simulation from a programmer’s point of view, explaining the R )] TJ ET
BT 34.016 675.374 Td /F1 9.8 Tf [(implementation of each simulation technique and providing the output for better understanding and comparison.)] TJ ET
BT 34.016 663.469 Td /F1 9.8 Tf [(Statistical Computing with R)] TJ ET
BT 155.384 663.469 Td /F1 9.8 Tf [( Maria L. Rizzo 2007-11-15 Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical )] TJ ET
BT 34.016 651.564 Td /F1 9.8 Tf [(approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to feature R, )] TJ ET
BT 34.016 639.659 Td /F1 9.8 Tf [(Statistical Computing with R covers the traditiona)] TJ ET
BT 34.016 627.755 Td /F1 9.8 Tf [(Numerical Methods for Nonlinear Estimating Equations)] TJ ET
BT 270.804 627.755 Td /F1 9.8 Tf [( Christopher G. Small 2003 This book provides a comprehensive study of nonlinear estimating equations and artificial )] TJ ET
BT 34.016 615.850 Td /F1 9.8 Tf [(likelihoods for statistical inference. It includes a variety of examples from practical applications and is ideal for research statisticians and advanced graduate students.)] TJ ET
BT 34.016 603.945 Td /F1 9.8 Tf [(Contemporary Computational Mathematics - A Celebration of the 80th Birthday of Ian Sloan)] TJ ET
BT 429.066 603.945 Td /F1 9.8 Tf [( Josef Dick 2018-05-23 This book is a tribute to Professor Ian Hugh Sloan on the )] TJ ET
BT 34.016 592.040 Td /F1 9.8 Tf [(occasion of his 80th birthday. It consists of nearly 60 articles written by international leaders in a diverse range of areas in contemporary computational mathematics. These )] TJ ET
BT 34.016 580.136 Td /F1 9.8 Tf [(papers highlight the impact and many achievements of Professor Sloan in his distinguished academic career. The book also presents state of the art knowledge in many )] TJ ET
BT 34.016 568.231 Td /F1 9.8 Tf [(computational fields such as quasi-Monte Carlo and Monte Carlo methods for multivariate integration, multi-level methods, finite element methods, uncertainty quantification, )] TJ ET
BT 34.016 556.326 Td /F1 9.8 Tf [(spherical designs and integration on the sphere, approximation and interpolation of multivariate functions, oscillatory integrals, and in general in information-based complexity and )] TJ ET
BT 34.016 544.421 Td /F1 9.8 Tf [(tractability, as well as in a range of other topics. The book also tells the life story of the renowned mathematician, family man, colleague and friend, who has been an inspiration to )] TJ ET
BT 34.016 532.517 Td /F1 9.8 Tf [(many of us. The reader may especially enjoy the story from the perspective of his family, his wife, his daughter and son, as well as grandchildren, who share their views of Ian. )] TJ ET
BT 34.016 520.612 Td /F1 9.8 Tf [(The clear message of the book is that Ian H. Sloan has been a role model in science and life.)] TJ ET
BT 34.016 508.707 Td /F1 9.8 Tf [(Dirichlet and Related Distributions)] TJ ET
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34.016 507.098 m 180.851 507.098 l S
BT 180.851 508.707 Td /F1 9.8 Tf [( Kai Wang Ng 2011-05-03 The Dirichlet distribution appears in many areas of application, which include modelling of compositional data, )] TJ ET
BT 34.016 496.802 Td /F1 9.8 Tf [(Bayesian analysis, statistical genetics, and nonparametric inference. This book provides a comprehensive review of the Dirichlet distribution and two extended versions, the )] TJ ET
BT 34.016 484.898 Td /F1 9.8 Tf [(Grouped Dirichlet Distribution \(GDD\) and the Nested Dirichlet Distribution \(NDD\), arising from likelihood and Bayesian analysis of incomplete categorical data and survey data with )] TJ ET
BT 34.016 472.993 Td /F1 9.8 Tf [(non-response. The theoretical properties and applications are also reviewed in detail for other related distributions, such as the inverted Dirichlet distribution, Dirichlet-multinomial )] TJ ET
BT 34.016 461.088 Td /F1 9.8 Tf [(distribution, the truncated Dirichlet distribution, the generalized Dirichlet distribution, Hyper-Dirichlet distribution, scaled Dirichlet distribution, mixed Dirichlet distribution, Liouville )] TJ ET
BT 34.016 449.183 Td /F1 9.8 Tf [(distribution, and the generalized Liouville distribution. Key Features: Presents many of the results and applications that are scattered throughout the literature in one single volume. )] TJ ET
BT 34.016 437.279 Td /F1 9.8 Tf [(Looks at the most recent results such as survival function and characteristic function for the uniform distributions over the hyper-plane and simplex; distribution for linear function of )] TJ ET
BT 34.016 425.374 Td /F1 9.8 Tf [(Dirichlet components; estimation via the expectation-maximization gradient algorithm and application; etc. Likelihood and Bayesian analyses of incomplete categorical data by )] TJ ET
BT 34.016 413.469 Td /F1 9.8 Tf [(using GDD, NDD, and the generalized Dirichlet distribution are illustrated in detail through the EM algorithm and data augmentation structure. Presents a systematic exposition of )] TJ ET
BT 34.016 401.564 Td /F1 9.8 Tf [(the Dirichlet-multinomial distribution for multinomial data with extra variation which cannot be handled by the multinomial distribution. S-plus/R codes are featured along with )] TJ ET
BT 34.016 389.660 Td /F1 9.8 Tf [(practical examples illustrating the methods. Practitioners and researchers working in areas such as medical science, biological science and social science will benefit from this )] TJ ET
BT 34.016 377.755 Td /F1 9.8 Tf [(book.)] TJ ET
BT 34.016 365.850 Td /F1 9.8 Tf [(Random Number Generation and Monte Carlo Methods)] TJ ET
BT 274.070 365.850 Td /F1 9.8 Tf [( James E. Gentle 2006-04-18 Monte Carlo simulation has become one of the most important tools in all fields of science. )] TJ ET
BT 34.016 353.945 Td /F1 9.8 Tf [(Simulation methodology relies on a good source of numbers that appear to be random. These "pseudorandom" numbers must pass statistical tests just as random samples would. )] TJ ET
BT 34.016 342.041 Td /F1 9.8 Tf [(Methods for producing pseudorandom numbers and transforming those numbers to simulate samples from various distributions are among the most important topics in statistical )] TJ ET
BT 34.016 330.136 Td /F1 9.8 Tf [(computing. This book surveys techniques of random number generation and the use of random numbers in Monte Carlo simulation. The book covers basic principles, as well as )] TJ ET
BT 34.016 318.231 Td /F1 9.8 Tf [(newer methods such as parallel random number generation, nonlinear congruential generators, quasi Monte Carlo methods, and Markov chain Monte Carlo. The best methods for )] TJ ET
BT 34.016 306.326 Td /F1 9.8 Tf [(generating random variates from the standard distributions are presented, but also general techniques useful in more complicated models and in novel settings are described. The )] TJ ET
BT 34.016 294.422 Td /F1 9.8 Tf [(emphasis throughout the book is on practical methods that work well in current computing environments. The book includes exercises and can be used as a test or supplementary )] TJ ET
BT 34.016 282.517 Td /F1 9.8 Tf [(text for various courses in modern statistics. It could serve as the primary test for a specialized course in statistical computing, or as a supplementary text for a course in )] TJ ET
BT 34.016 270.612 Td /F1 9.8 Tf [(computational statistics and other areas of modern statistics that rely on simulation. The book, which covers recent developments in the field, could also serve as a useful )] TJ ET
BT 34.016 258.707 Td /F1 9.8 Tf [(reference for practitioners. Although some familiarity with probability and statistics is assumed, the book is accessible to a broad audience. The second edition is approximately )] TJ ET
BT 34.016 246.803 Td /F1 9.8 Tf [(50% longer than the first edition. It includes advances in methods for parallel random number generation, universal methods for generation of nonuniform variates, perfect )] TJ ET
BT 34.016 234.898 Td /F1 9.8 Tf [(sampling, and software for random number generation.)] TJ ET
BT 34.016 222.993 Td /F1 9.8 Tf [(Calibration of Watershed Models)] TJ ET
BT 175.439 222.993 Td /F1 9.8 Tf [( Qingyun Duan 2003-01-10 Published by the American Geophysical Union as part of the Water Science and Application Series, Volume 6. During )] TJ ET
BT 34.016 211.088 Td /F1 9.8 Tf [(the past four decades, computer-based mathematical models of watershed hydrology have been widely used for a variety of applications including hydrologic forecasting, )] TJ ET
BT 34.016 199.184 Td /F1 9.8 Tf [(hydrologic design, and water resources management. These models are based on general mathematical descriptions of the watershed processes that transform natural forcing )] TJ ET
BT 34.016 187.279 Td /F1 9.8 Tf [(\(e.g., rainfall over the landscape\) into response \(e.g., runoff in the rivers\). The user of a watershed hydrology model must specify the model parameters before the model is able to )] TJ ET
BT 34.016 175.374 Td /F1 9.8 Tf [(properly simulate the watershed behavior.)] TJ ET
BT 34.016 163.469 Td /F1 9.8 Tf [(Surrogate Model-Based Engineering Design and Optimization)] TJ ET
BT 300.629 163.469 Td /F1 9.8 Tf [( Ping Jiang 2019-11-01 This book covers some of the most popular methods in design space sampling, ensembling )] TJ ET
BT 34.016 151.565 Td /F1 9.8 Tf [(surrogate models, multi-fidelity surrogate model construction, surrogate model selection and validation, surrogate-based robust design optimization, and surrogate-based )] TJ ET
BT 34.016 139.660 Td /F1 9.8 Tf [(evolutionary optimization. Surrogate or metamodels are now frequently used in complex engineering product design to replace expensive simulations or physical experiments. )] TJ ET
BT 34.016 127.755 Td /F1 9.8 Tf [(They are constructed from available input parameter values and the corresponding output performance or quantities of interest \(QOIs\) to provide predictions based on the fitted or )] TJ ET
BT 34.016 115.850 Td /F1 9.8 Tf [(interpolated mathematical relationships. The book highlights a range of methods for ensembling surrogate and multi-fidelity models, which offer a good balance between surrogate )] TJ ET
BT 34.016 103.946 Td /F1 9.8 Tf [(modeling accuracy and building cost. A number of real-world engineering design problems, such as three-dimensional aircraft design, are also provided to illustrate the ability of )] TJ ET
BT 34.016 92.041 Td /F1 9.8 Tf [(surrogates for supporting complex engineering design. Lastly, illustrative examples are included throughout to help explain the approaches in a more “hands-on” manner.)] TJ ET
BT 34.016 80.136 Td /F1 9.8 Tf [(Handbook of Computational Statistics)] TJ ET
BT 196.587 80.136 Td /F1 9.8 Tf [( James E. Gentle 2012-07-06 The Handbook of Computational Statistics - Concepts and Methods \(second edition\) is a revision of the first )] TJ ET
BT 34.016 68.231 Td /F1 9.8 Tf [(edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of )] TJ ET
BT 34.016 56.327 Td /F1 9.8 Tf [(computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern )] TJ ET
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BT 34.016 1147.010 Td /F1 9.8 Tf [(data science" \(Ch.1\): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and )] TJ ET
BT 34.016 1135.106 Td /F1 9.8 Tf [(software, including a discussion of current active research. The second part \(Chs. 2 - 15\) presents several topics in the supporting field of statistical computing. Emphasis is placed )] TJ ET
BT 34.016 1123.201 Td /F1 9.8 Tf [(on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment )] TJ ET
BT 34.016 1111.296 Td /F1 9.8 Tf [(are discussed. The third part \(Chs. 16 - 33\) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of )] TJ ET
BT 34.016 1099.391 Td /F1 9.8 Tf [(multivariate data. Lastly, a set of selected applications \(Chs. 34 - 38\) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the )] TJ ET
BT 34.016 1087.487 Td /F1 9.8 Tf [(usefulness of computational statistics in real-world applications.)] TJ ET
BT 34.016 1075.582 Td /F1 9.8 Tf [(Handbook of Computational Statistics)] TJ ET
BT 196.587 1075.582 Td /F1 9.8 Tf [( Yuichi Mori 2004-07-14 The Handbook of Computational Statistics: Concepts and Methodology is divided into four parts. It begins with an )] TJ ET
BT 34.016 1063.677 Td /F1 9.8 Tf [(overview over the field of Computational Statistics. The second part presents several topics in the supporting field of statistical computing. Emphasis is placed on the need of fast )] TJ ET
BT 34.016 1051.772 Td /F1 9.8 Tf [(and accurate numerical algorithms and it discusses some of the basic methodologies for transformation, data base handling and graphics treatment. The third part focuses on )] TJ ET
BT 34.016 1039.868 Td /F1 9.8 Tf [(statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Finally a set of selected applications like )] TJ ET
BT 34.016 1027.963 Td /F1 9.8 Tf [(Bioinformatics, Medical Imaging, Finance and Network Intrusion Detection highlight the usefulness of computational statistics.)] TJ ET
BT 34.016 1016.058 Td /F1 9.8 Tf [(Data Analysis from Statistical Foundations)] TJ ET
0.195 w 0 J [ ] 0 d
34.016 1014.449 m 216.623 1014.449 l S
BT 216.623 1016.058 Td /F1 9.8 Tf [( Donald Alexander Stuart Fraser 2001 Data Analysis from Statistical Foundations)] TJ ET
BT 34.016 1004.153 Td /F1 9.8 Tf [(Computational Statistics)] TJ ET
BT 138.594 1004.153 Td /F1 9.8 Tf [( Geof H. Givens 2012-11-06 This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The )] TJ ET
BT 34.016 992.249 Td /F1 9.8 Tf [(book is comprised of four main parts spanning the field: Optimization Integration and Simulation Bootstrapping Density Estimation and Smoothing Within these sections,each )] TJ ET
BT 34.016 980.344 Td /F1 9.8 Tf [(chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods. The new edition includes updated )] TJ ET
BT 34.016 968.439 Td /F1 9.8 Tf [(coverage and existing topics as well as new topics such as adaptive MCMC and bootstrapping for correlated data. The book website now includes comprehensive R code for the )] TJ ET
BT 34.016 956.534 Td /F1 9.8 Tf [(entire book. There are extensive exercises, real examples, and helpful insights about how to use the methods in practice.)] TJ ET
BT 34.016 944.630 Td /F1 9.8 Tf [(Inference in Hidden Markov Models)] TJ ET
BT 187.364 944.630 Td /F1 9.8 Tf [( Olivier Cappé 2006-04-18 This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and )] TJ ET
BT 34.016 932.725 Td /F1 9.8 Tf [(statistical theory. Topics range from filtering and smoothing of the hidden Markov chain to parameter estimation, Bayesian methods and estimation of the number of states. In a )] TJ ET
BT 34.016 920.820 Td /F1 9.8 Tf [(unified way the book covers both models with finite state spaces and models with continuous state spaces \(also called state-space models\) requiring approximate simulation-)] TJ ET
BT 34.016 908.915 Td /F1 9.8 Tf [(based algorithms that are also described in detail. Many examples illustrate the algorithms and theory. This book builds on recent developments to present a self-contained view.)] TJ ET
BT 34.016 897.011 Td /F1 9.8 Tf [(Approximating Integrals Via Monte Carlo and Deterministic Methods)] TJ ET
BT 327.159 897.011 Td /F1 9.8 Tf [( 2000 )] TJ ET
BT 34.016 885.106 Td /F1 9.8 Tf [(Integrated Tracking, Classification, and Sensor Management)] TJ ET
BT 295.754 885.106 Td /F1 9.8 Tf [( Mahendra Mallick 2012-12-03 A unique guide to the state of the art of tracking, classification, and sensor )] TJ ET
BT 34.016 873.201 Td /F1 9.8 Tf [(management This book addresses the tremendous progress made over the last few decades in algorithm development and mathematical analysis for filtering, multi-target multi-)] TJ ET
BT 34.016 861.296 Td /F1 9.8 Tf [(sensor tracking, sensor management and control, and target classification. It provides for the first time an integrated treatment of these advanced topics, complete with careful )] TJ ET
BT 34.016 849.392 Td /F1 9.8 Tf [(mathematical formulation, clear description of the theory, and real-world applications. Written by experts in the field, Integrated Tracking, Classification, and Sensor Management )] TJ ET
BT 34.016 837.487 Td /F1 9.8 Tf [(provides readers with easy access to key Bayesian modeling and filtering methods, multi-target tracking approaches, target classification procedures, and large scale sensor )] TJ ET
BT 34.016 825.582 Td /F1 9.8 Tf [(management problem-solving techniques. Features include: An accessible coverage of random finite set based multi-target filtering algorithms such as the Probability Hypothesis )] TJ ET
BT 34.016 813.677 Td /F1 9.8 Tf [(Density filters and multi-Bernoulli filters with focus on problem solving A succinct overview of the track-oriented MHT that comprehensively collates all significant developments in )] TJ ET
BT 34.016 801.773 Td /F1 9.8 Tf [(filtering and tracking A state-of-the-art algorithm for hybrid Bayesian network \(BN\) inference that is efficient and scalable for complex classification models New structural results in )] TJ ET
BT 34.016 789.868 Td /F1 9.8 Tf [(stochastic sensor scheduling and algorithms for dynamic sensor scheduling and management Coverage of the posterior Cramer-Rao lower bound \(PCRLB\) for target tracking and )] TJ ET
BT 34.016 777.963 Td /F1 9.8 Tf [(sensor management Insight into cutting-edge military and civilian applications, including intelligence, surveillance, and reconnaissance \(ISR\) With its emphasis on the latest )] TJ ET
BT 34.016 766.058 Td /F1 9.8 Tf [(research results, Integrated Tracking, Classification, and Sensor Management is an invaluable guide for researchers and practitioners in statistical signal processing, radar )] TJ ET
BT 34.016 754.154 Td /F1 9.8 Tf [(systems, operations research, and control theory.)] TJ ET
BT 34.016 742.249 Td /F1 9.8 Tf [(Multistability in Physical and Living Systems)] TJ ET
BT 223.653 742.249 Td /F1 9.8 Tf [( Alexander N. Pisarchik )] TJ ET
BT 34.016 730.344 Td /F1 9.8 Tf [(Monte Carlo Methods and Applications)] TJ ET
BT 201.462 730.344 Td /F1 9.8 Tf [( Ivan Dimov 2013-01-01 This is the proceedings of the "8th IMACS Seminar on Monte Carlo Methods" held from August 29 to September 2, )] TJ ET
BT 34.016 718.439 Td /F1 9.8 Tf [(2011 in Borovets, Bulgaria, and organized by the Institute of Information and Communication Technologies of the Bulgarian Academy of Sciences in cooperation with the )] TJ ET
BT 34.016 706.535 Td /F1 9.8 Tf [(International Association for Mathematics and Computers in Simulation \(IMACS\). Included are 24 papers which cover all topics presented in the sessions of the seminar: )] TJ ET
BT 34.016 694.630 Td /F1 9.8 Tf [(stochastic computation and complexity of high dimensional problems, sensitivity analysis, high-performance computations for Monte Carlo applications, stochastic metaheuristics )] TJ ET
BT 34.016 682.725 Td /F1 9.8 Tf [(for optimization problems, sequential Monte Carlo methods for large-scale problems, semiconductor devices and nanostructures.)] TJ ET
BT 34.016 670.820 Td /F1 9.8 Tf [(Applications of Discrete-time Markov Chains and Poisson Processes to Air Pollution Modeling and Studies)] TJ ET
BT 491.895 670.820 Td /F1 9.8 Tf [( Eliane Regina Rodrigues 2012-09-02 ?In this brief we consider some )] TJ ET
BT 34.016 658.916 Td /F1 9.8 Tf [(stochastic models that may be used to study problems related to environmental matters, in particular, air pollution. The impact of exposure to air pollutants on people's health is a )] TJ ET
BT 34.016 647.011 Td /F1 9.8 Tf [(very clear and well documented subject. Therefore, it is very important to obtain ways to predict or explain the behaviour of pollutants in general. Depending on the type of )] TJ ET
BT 34.016 635.106 Td /F1 9.8 Tf [(question that one is interested in answering, there are several of ways studying that problem. Among them we may quote, analysis of the time series of the pollutants' )] TJ ET
BT 34.016 623.201 Td /F1 9.8 Tf [(measurements, analysis of the information obtained directly from the data, for instance, daily, weekly or monthly averages and standard deviations. Another way to study the )] TJ ET
BT 34.016 611.297 Td /F1 9.8 Tf [(behaviour of pollutants in general is through mathematical models. In the mathematical framework we may have for instance deterministic or stochastic models. The type of )] TJ ET
BT 34.016 599.392 Td /F1 9.8 Tf [(models that we are going to consider in this brief are the stochastic ones.?)] TJ ET
BT 34.016 587.487 Td /F1 9.8 Tf [(Nonlinear Time Series)] TJ ET
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BT 130.453 587.487 Td /F1 9.8 Tf [( Randal Douc 2014-01-06 Designed for researchers and students, Nonlinear Times Series: Theory, Methods and Applications with R Examples familiarizes )] TJ ET
BT 34.016 575.582 Td /F1 9.8 Tf [(readers with the principles behind nonlinear time series models-without overwhelming them with difficult mathematical developments. By focusing on basic principles and theory, )] TJ ET
BT 34.016 563.678 Td /F1 9.8 Tf [(the authors give readers the background required)] TJ ET
BT 34.016 551.773 Td /F1 9.8 Tf [(Stochastic Analysis 2010)] TJ ET
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BT 142.397 551.773 Td /F1 9.8 Tf [( Dan Crisan 2010-11-26 Stochastic Analysis aims to provide mathematical tools to describe and model high dimensional random systems. Such tools )] TJ ET
BT 34.016 539.868 Td /F1 9.8 Tf [(arise in the study of Stochastic Differential Equations and Stochastic Partial Differential Equations, Infinite Dimensional Stochastic Geometry, Random Media and Interacting )] TJ ET
BT 34.016 527.963 Td /F1 9.8 Tf [(Particle Systems, Super-processes, Stochastic Filtering, Mathematical Finance, etc. Stochastic Analysis has emerged as a core area of late 20th century Mathematics and is )] TJ ET
BT 34.016 516.059 Td /F1 9.8 Tf [(currently undergoing a rapid scientific development. The special volume “Stochastic Analysis 2010” provides a sample of the current research in the different branches of the )] TJ ET
BT 34.016 504.154 Td /F1 9.8 Tf [(subject. It includes the collected works of the participants at the Stochastic Analysis section of the 7th ISAAC Congress organized at Imperial College London in July 2009.)] TJ ET
BT 34.016 492.249 Td /F1 9.8 Tf [(Generalized Latent Variable Modeling)] TJ ET
BT 197.133 492.249 Td /F1 9.8 Tf [( Anders Skrondal 2004-05-11 This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, )] TJ ET
BT 34.016 480.344 Td /F1 9.8 Tf [(longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to latent variable )] TJ ET
BT 34.016 468.440 Td /F1 9.8 Tf [(modeling, the authors clearly explain and contrast a wi)] TJ ET
BT 34.016 456.535 Td /F1 9.8 Tf [(Uncertainty Quantification in Computational Science)] TJ ET
BT 258.899 456.535 Td /F1 9.8 Tf [( Sunetra Sarkar 2016-08-19 During the last decade, research in Uncertainty Quantification \(UC\) has received a tremendous )] TJ ET
BT 34.016 444.630 Td /F1 9.8 Tf [(boost, in fluid engineering and coupled structural-fluids systems. New algorithms and adaptive variants have also emerged. This timely compendium overviews in detail the current )] TJ ET
BT 34.016 432.725 Td /F1 9.8 Tf [(state of the art of the field, including advances in structural engineering, along with the recent focus on fluids and coupled systems. Such a strong compilation of these vibrant )] TJ ET
BT 34.016 420.821 Td /F1 9.8 Tf [(research areas will certainly be an inspirational reference material for the scientific community.)] TJ ET
BT 34.016 408.916 Td /F1 9.8 Tf [(Biometrics - Volume II)] TJ ET
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BT 129.371 408.916 Td /F1 9.8 Tf [( Susan R. Wilson 2009-02-18 Biometrics is a component of Encyclopedia of Mathematical Sciences in the global Encyclopedia of Life Support Systems )] TJ ET
BT 34.016 397.011 Td /F1 9.8 Tf [(\(EOLSS\), which is an integrated compendium of twenty one Encyclopedias. Biometry is a broad discipline covering all applications of statistics and mathematics to biology. The )] TJ ET
BT 34.016 385.106 Td /F1 9.8 Tf [(Theme Biometrics is divided into areas of expertise essential for a proper application of statistical and mathematical methods to contemporary biological problems. These volumes )] TJ ET
BT 34.016 373.202 Td /F1 9.8 Tf [(cover four main topics: Data Collection and Analysis, Statistical Methodology, Computation, Biostatistical Methods and Research Design and Selected Topics. These volumes are )] TJ ET
BT 34.016 361.297 Td /F1 9.8 Tf [(aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and )] TJ ET
BT 34.016 349.392 Td /F1 9.8 Tf [(decision makers and NGOs.)] TJ ET
BT 34.016 337.487 Td /F1 9.8 Tf [(Computation of Multivariate Normal and t Probabilities)] TJ ET
BT 267.011 337.487 Td /F1 9.8 Tf [( Alan Genz 2009-07-09 Multivariate normal and t probabilities are needed for statistical inference in many applications. )] TJ ET
BT 34.016 325.583 Td /F1 9.8 Tf [(Modern statistical computation packages provide functions for the computation of these probabilities for problems with one or two variables. This book describes recently )] TJ ET
BT 34.016 313.678 Td /F1 9.8 Tf [(developed methods for accurate and efficient computation of the required probability values for problems with two or more variables. The book discusses methods for specialized )] TJ ET
BT 34.016 301.773 Td /F1 9.8 Tf [(problems as well as methods for general problems. The book includes examples that illustrate the probability computations for a variety of applications.)] TJ ET
BT 34.016 289.868 Td /F1 9.8 Tf [(Towards Dependable Robotic Perception)] TJ ET
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BT 211.758 289.868 Td /F1 9.8 Tf [( 2011 Reliable perception is required in order for robots to operate safely in unpredictable and complex human environments. However, )] TJ ET
BT 34.016 277.964 Td /F1 9.8 Tf [(reliability of perceptual inference algorithms has been poorly studied so far. These algorithms capture uncertain knowledge about the world in the form of probabilistic belief )] TJ ET
BT 34.016 266.059 Td /F1 9.8 Tf [(distributions. A number of Monte Carlo and deterministic approaches have been developed, but their efficiency depends on the degree of smoothness of the beliefs. In the real )] TJ ET
BT 34.016 254.154 Td /F1 9.8 Tf [(world, the smoothness assumption often fails, leading to unreliable perceptual inference results. Motivated by concrete robotics problems, we propose two novel perceptual )] TJ ET
BT 34.016 242.249 Td /F1 9.8 Tf [(inference algorithms that explicitly consider local non-smoothness of beliefs and adapt to it. Both of these algorithms fall into the category of iterative divide-and-conquer methods )] TJ ET
BT 34.016 230.345 Td /F1 9.8 Tf [(and hence scale logarithmically with desired accuracy. The first algorithm is termed Scaling Series. It is an iterative Monte Carlo technique coupled with annealing. Local non-)] TJ ET
BT 34.016 218.440 Td /F1 9.8 Tf [(smoothness is accounted for by sampling strategy and by annealing schedule. The second algorithm is termed GRAB, which stands for Guaranteed Recursive Adaptive Bounding. )] TJ ET
BT 34.016 206.535 Td /F1 9.8 Tf [(GRAB is an iterative adaptive grid algorithm, which relies on bounds. In this case, local non-smoothness is captured in terms of local bounds and grid resolution. Scaling Series )] TJ ET
BT 34.016 194.630 Td /F1 9.8 Tf [(works well for beliefs with sharp transitions, but without many discontinuities. GRAB is most appropriate for beliefs with many discontinuities. Both of these algorithms far )] TJ ET
BT 34.016 182.726 Td /F1 9.8 Tf [(outperform the prior art in terms of reliability, efficiency, and accuracy. GRAB is also able to guarantee that a quality approximation of the belief is produced. The proposed )] TJ ET
BT 34.016 170.821 Td /F1 9.8 Tf [(algorithms are evaluated on a diverse set of real robotics problems: tactile perception, autonomous driving, and mobile manipulation. In tactile perception, we localize objects in 3D )] TJ ET
BT 34.016 158.916 Td /F1 9.8 Tf [(starting with very high initial uncertainty and estimating all 6 degrees of freedom. The localization is performed based on tactile sensory data. Using Scaling Series, we obtain )] TJ ET
BT 34.016 147.011 Td /F1 9.8 Tf [(highly accurate and reliable results in under 1 second. Improved tactile object localization contributes to manufacturing applications, where tactile perception is widely used for )] TJ ET
BT 34.016 135.107 Td /F1 9.8 Tf [(workpiece localization. It also enables robotic applications in situations where vision can be obstructed, such as rescue robotics and underwater robotics. In autonomous driving, )] TJ ET
BT 34.016 123.202 Td /F1 9.8 Tf [(we detect and track vehicles in the vicinity of the robot based on 2D and 3D laser range finders. In addition to estimating position and velocity of vehicles, we also model and )] TJ ET
BT 34.016 111.297 Td /F1 9.8 Tf [(estimate their geometric shape. The geometric model leads to highly accurate estimates of pose and velocity for each vehicle. It also greatly simplifies association of data, which )] TJ ET
BT 34.016 99.392 Td /F1 9.8 Tf [(are often split up into separate clusters due to occlusion. The proposed Scaling Series algorithm greatly improves reliability and ensures that the problem is solved within tight real )] TJ ET
BT 34.016 87.488 Td /F1 9.8 Tf [(time constraints of autonomous driving. In mobile manipulation, we achieve highly accurate robot localization based on commonly used 2D laser range finders using the GRAB )] TJ ET
BT 34.016 75.583 Td /F1 9.8 Tf [(algorithm. We show that the high accuracy allows robots to navigate in tight spaces and manipulate objects without having to sense them directly. We demonstrate our approach )] TJ ET
BT 34.016 63.678 Td /F1 9.8 Tf [(on the example of simultaneous building navigation, door handle manipulation, and door opening. We also propose hybrid environment models, which combine high resolution )] TJ ET
BT 34.016 51.773 Td /F1 9.8 Tf [(polygons for objects of interest with low resolution occupancy grid representations for the rest of the environment. High accuracy indoor localization contributes directly to )] TJ ET
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0.195 w 0 J [ ] 0 d
BT 34.016 1147.010 Td /F1 9.8 Tf [(home/office mobile robotics as well as to future robotics applications in construction, inspection, and maintenance of buildings. Based on the success of the proposed perceptual )] TJ ET
BT 34.016 1135.106 Td /F1 9.8 Tf [(inference algorithms in the concrete robotics problems, it is our hope that this thesis will serve as a starting point for further development of highly reliable)] TJ ET
BT 34.016 1123.201 Td /F1 9.8 Tf [(Approximating Integrals via Monte Carlo and Deterministic Methods)] TJ ET
BT 325.531 1123.201 Td /F1 9.8 Tf [( Michael Evans 2000-03-23 This book is designed to introduce graduate students and researchers to the )] TJ ET
BT 34.016 1111.296 Td /F1 9.8 Tf [(primary methods useful for approximating integrals. The emphasis is on those methods that have been found to be of practical use, and although the focus is on approximating )] TJ ET
BT 34.016 1099.391 Td /F1 9.8 Tf [(higher- dimensional integrals the lower-dimensional case is also covered. Included in the book are asymptotic techniques, multiple quadrature and quasi-random techniques as )] TJ ET
BT 34.016 1087.487 Td /F1 9.8 Tf [(well as a complete development of Monte Carlo algorithms. For the Monte Carlo section importance sampling methods, variance reduction techniques and the primary Markov )] TJ ET
BT 34.016 1075.582 Td /F1 9.8 Tf [(Chain Monte Carlo algorithms are covered. This book brings these various techniques together for the first time, and hence provides an accessible textbook and reference for )] TJ ET
BT 34.016 1063.677 Td /F1 9.8 Tf [(researchers in a wide variety of disciplines.)] TJ ET
BT 34.016 1051.772 Td /F1 9.8 Tf [(Intelligent Control Systems Using Computational Intelligence Techniques)] TJ ET
BT 348.307 1051.772 Td /F1 9.8 Tf [( A.E. Ruano 2005-07-18 Intelligent Control techniques are becoming important tools in both academia )] TJ ET
BT 34.016 1039.868 Td /F1 9.8 Tf [(and industry. Methodologies developed in the field of soft-computing, such as neural networks, fuzzy systems and evolutionary computation, can lead to accommodation of more )] TJ ET
BT 34.016 1027.963 Td /F1 9.8 Tf [(complex processes, improved performance and considerable time savings and cost reductions. Intelligent Control Systems using Computational Intellingence Techniques details )] TJ ET
BT 34.016 1016.058 Td /F1 9.8 Tf [(the application of these tools to the field of control systems. Each chapter gives and overview of current approaches in the topic covered, with a set of the most important )] TJ ET
BT 34.016 1004.153 Td /F1 9.8 Tf [(references in the field, and then details the author's approach, examining both the theory and practical applications.)] TJ ET
BT 34.016 992.249 Td /F1 9.8 Tf [(Automatic Nonuniform Random Variate Generation)] TJ ET
BT 254.561 992.249 Td /F1 9.8 Tf [( Wolfgang Hörmann 2013-06-29 The recent concept of universal \(also called automatic or black-box\) random variate generation )] TJ ET
BT 34.016 980.344 Td /F1 9.8 Tf [(can only be found dispersed in the literature. Being unique in its overall organization, the book covers not only the mathematical and statistical theory but also deals with the )] TJ ET
BT 34.016 968.439 Td /F1 9.8 Tf [(implementation of such methods. All algorithms introduced in the book are designed for practical use in simulation and have been coded and made available by the authors. )] TJ ET
BT 34.016 956.534 Td /F1 9.8 Tf [(Examples of possible applications of the presented algorithms \(including option pricing, VaR and Bayesian statistics\) are presented at the end of the book.)] TJ ET
BT 34.016 944.630 Td /F1 9.8 Tf [(Measurement Error and Misclassification in Statistics and Epidemiology)] TJ ET
BT 342.320 944.630 Td /F1 9.8 Tf [( Paul Gustafson 2003-09-25 Mismeasurement of explanatory variables is a common hazard when using )] TJ ET
BT 34.016 932.725 Td /F1 9.8 Tf [(statistical modeling techniques, and particularly so in fields such as biostatistics and epidemiology where perceived risk factors cannot always be measured accurately. With this )] TJ ET
BT 34.016 920.820 Td /F1 9.8 Tf [(perspective and a focus on both continuous and categorical variables, Measurement Error and Misclassi)] TJ ET
BT 34.016 908.915 Td /F1 9.8 Tf [(Computational Approaches for Aerospace Design)] TJ ET
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34.016 907.307 m 248.067 907.307 l S
BT 248.067 908.915 Td /F1 9.8 Tf [( Andy Keane 2005-08-05 Over the last fifty years, the ability to carry out analysis as a precursor to decision making in )] TJ ET
BT 34.016 897.011 Td /F1 9.8 Tf [(engineering design has increased dramatically. In particular, the advent of modern computing systems and the development of advanced numerical methods have made )] TJ ET
BT 34.016 885.106 Td /F1 9.8 Tf [(computational modelling a vital tool for producing optimized designs. This text explores how computer-aided analysis has revolutionized aerospace engineering, providing a )] TJ ET
BT 34.016 873.201 Td /F1 9.8 Tf [(comprehensive coverage of the latest technologies underpinning advanced computational design. Worked case studies and over 500 references to the primary research literature )] TJ ET
BT 34.016 861.296 Td /F1 9.8 Tf [(allow the reader to gain a full understanding of the technology, giving a valuable insight into the world’s most complex engineering systems. Key Features: Includes background )] TJ ET
BT 34.016 849.392 Td /F1 9.8 Tf [(information on the history of aerospace design and established optimization, geometrical and mathematical modelling techniques, setting recent engineering developments in a )] TJ ET
BT 34.016 837.487 Td /F1 9.8 Tf [(relevant context. Examines the latest methods such as evolutionary and response surface based optimization, adjoint and numerically differentiated sensitivity codes, uncertainty )] TJ ET
BT 34.016 825.582 Td /F1 9.8 Tf [(analysis, and concurrent systems integration schemes using grid-based computing. Methods are illustrated with real-world applications of structural statics, dynamics and fluid )] TJ ET
BT 34.016 813.677 Td /F1 9.8 Tf [(mechanics to satellite, aircraft and aero-engine design problems. Senior undergraduate and postgraduate engineering students taking courses in aerospace, vehicle and engine )] TJ ET
BT 34.016 801.773 Td /F1 9.8 Tf [(design will find this a valuable resource. It will also be useful for practising engineers and researchers working on computational approaches to design.)] TJ ET
BT 34.016 789.868 Td /F1 9.8 Tf [(Bayesian Estimation and Tracking)] TJ ET
BT 181.406 789.868 Td /F1 9.8 Tf [( Anton J. Haug 2012-05-29 A practical approach to estimating and tracking dynamicsystems in real-worl applications Much of the literature on )] TJ ET
BT 34.016 777.963 Td /F1 9.8 Tf [(performing estimation for non-Gaussiansystems is short on practical methodology, while Gaussian methodsoften lack a cohesive derivation. Bayesian Estimation andTracking )] TJ ET
BT 34.016 766.058 Td /F1 9.8 Tf [(addresses the gap in the field on both accounts,providing readers with a comprehensive overview of methods forestimating both linear and nonlinear dynamic systems driven )] TJ ET
BT 34.016 754.154 Td /F1 9.8 Tf [(byGaussian and non-Gaussian noices. Featuring a unified approach to Bayesian estimation andtracking, the book emphasizes the derivation of all trackingalgorithms within a )] TJ ET
BT 34.016 742.249 Td /F1 9.8 Tf [(Bayesian framework and describes effectivenumerical methods for evaluating density-weighted integrals,including linear and nonlinear Kalman filters for Gaussian-)] TJ ET
BT 34.016 730.344 Td /F1 9.8 Tf [(weightedintegrals and particle filters for non-Gaussian cases. The authorfirst emphasizes detailed derivations from first principles ofeeach estimation method and goes on to use )] TJ ET
BT 34.016 718.439 Td /F1 9.8 Tf [(illustrative anddetailed step-by-step instructions for each method that makescoding of the tracking filter simple and easy to understand. Case studies are employed to showcase )] TJ ET
BT 34.016 706.535 Td /F1 9.8 Tf [(applications of thediscussed topics. In addition, the book supplies block diagrams foreach algorithm, allowing readers to develop their own MATLAB®toolbox of estimation )] TJ ET
BT 34.016 694.630 Td /F1 9.8 Tf [(methods. Bayesian Estimation and Tracking is an excellent book forcourses on estimation and tracking methods at the graduate level.The book also serves as a valuable )] TJ ET
BT 34.016 682.725 Td /F1 9.8 Tf [(reference for researchscientists, mathematicians, and engineers seeking a deeperunderstanding of the topics.)] TJ ET
BT 34.016 670.820 Td /F1 9.8 Tf [(Statistics in Action)] TJ ET
BT 113.127 670.820 Td /F1 9.8 Tf [( Jerald F. Lawless 2014-03-03 Commissioned by the Statistical Society of Canada \(SSC\), Statistics in Action: A Canadian Outlook helps both general readers )] TJ ET
BT 34.016 658.916 Td /F1 9.8 Tf [(and users of statistics better appreciate the scope and importance of statistics. It presents the ways in which statistics is used while highlighting key contributions that Canadian )] TJ ET
BT 34.016 647.011 Td /F1 9.8 Tf [(statisticians are making to science, technology, business, government, and other areas. The book emphasizes the role and impact of computing in statistical modeling and )] TJ ET
BT 34.016 635.106 Td /F1 9.8 Tf [(analysis, including the issues involved with the huge amounts of data being generated by automated processes. The first two chapters review the development of statistics as a )] TJ ET
BT 34.016 623.201 Td /F1 9.8 Tf [(discipline in Canada and describe some major contributions to survey methodology made by Statistics Canada, one of the world’s premier official statistics agencies. The book )] TJ ET
BT 34.016 611.297 Td /F1 9.8 Tf [(next discusses how statistical methodologies, such as functional data analysis and the Metropolis algorithm, are applied in a wide variety of fields, including risk management and )] TJ ET
BT 34.016 599.392 Td /F1 9.8 Tf [(genetics. It then focuses on the application of statistical methods in medicine and public health as well as finance and e-commerce. The remainder of the book addresses how )] TJ ET
BT 34.016 587.487 Td /F1 9.8 Tf [(statistics is used to study critical scientific areas, including difficult-to-access populations, endangered species, climate change, and agricultural forecasts. About the SSC Founded )] TJ ET
BT 34.016 575.582 Td /F1 9.8 Tf [(in Montréal in 1972, the SSC is the main professional organization for statisticians and related professionals in Canada. Its mission is to promote the use and development of )] TJ ET
BT 34.016 563.678 Td /F1 9.8 Tf [(statistics and probability. The SSC publishes the bilingual quarterly newsletter SSC Liaison and the peer-reviewed scientific journal The Canadian Journal of Statistics. More )] TJ ET
BT 34.016 551.773 Td /F1 9.8 Tf [(information can be found at www.ssc.ca.)] TJ ET
BT 34.016 539.868 Td /F1 9.8 Tf [(Elements of Distribution Theory)] TJ ET
BT 170.018 539.868 Td /F1 9.8 Tf [( Thomas A. Severini 2005-08-08 This detailed introduction to distribution theory uses no measure theory, making it suitable for students in statistics )] TJ ET
BT 34.016 527.963 Td /F1 9.8 Tf [(and econometrics as well as for researchers who use statistical methods. Good backgrounds in calculus and linear algebra are important and a course in elementary mathematical )] TJ ET
BT 34.016 516.059 Td /F1 9.8 Tf [(analysis is useful, but not required. An appendix gives a detailed summary of the mathematical definitions and results that are used in the book. Topics covered range from the )] TJ ET
BT 34.016 504.154 Td /F1 9.8 Tf [(basic distribution and density functions, expectation, conditioning, characteristic functions, cumulants, convergence in distribution and the central limit theorem to more advanced )] TJ ET
BT 34.016 492.249 Td /F1 9.8 Tf [(concepts such as exchangeability, models with a group structure, asymptotic approximations to integrals, orthogonal polynomials and saddlepoint approximations. The emphasis )] TJ ET
BT 34.016 480.344 Td /F1 9.8 Tf [(is on topics useful in understanding statistical methodology; thus, parametric statistical models and the distribution theory associated with the normal distribution are covered )] TJ ET
BT 34.016 468.440 Td /F1 9.8 Tf [(comprehensively.)] TJ ET
BT 34.016 456.535 Td /F1 9.8 Tf [(Monte Carlo Methods for Applied Scientists)] TJ ET
BT 220.962 456.535 Td /F1 9.8 Tf [( Ivan Dimov 2008 The Monte Carlo method is inherently parallel and the extensive and rapid development in parallel computers, )] TJ ET
BT 34.016 444.630 Td /F1 9.8 Tf [(computational clusters and grids has resulted in renewed and increasing interest in this method. At the same time there has been an expansion in the application areas and the )] TJ ET
BT 34.016 432.725 Td /F1 9.8 Tf [(method is now widely used in many important areas of science including nuclear and semiconductor physics, statistical mechanics and heat and mass transfer. This book attempts )] TJ ET
BT 34.016 420.821 Td /F1 9.8 Tf [(to bridge the gap between theory and practice concentrating on modern algorithmic implementation on parallel architecture machines. Although a suitable text for final year )] TJ ET
BT 34.016 408.916 Td /F1 9.8 Tf [(postgraduate mathematicians and computational scientists it is principally aimed at the applied scientists: only a small amount of mathematical knowledge is assumed and )] TJ ET
BT 34.016 397.011 Td /F1 9.8 Tf [(theorem proving is kept to a minimum, with the main focus being on parallel algorithms development often to applied industrial problems. A selection of algorithms developed both )] TJ ET
BT 34.016 385.106 Td /F1 9.8 Tf [(for serial and parallel machines are provided. Sample Chapter\(s\). Chapter 1: Introduction \(231 KB\). Contents: Basic Results of Monte Carlo Integration; Optimal Monte Carlo )] TJ ET
BT 34.016 373.202 Td /F1 9.8 Tf [(Method for Multidimensional Integrals of Smooth Functions; Iterative Monte Carlo Methods for Linear Equations; Markov Chain Monte Carlo Methods for Eigenvalue Problems; )] TJ ET
BT 34.016 361.297 Td /F1 9.8 Tf [(Monte Carlo Methods for Boundary-Value Problems \(BVP\); Superconvergent Monte Carlo for Density Function Simulation by B-Splines; Solving Non-Linear Equations; Algorithmic )] TJ ET
BT 34.016 349.392 Td /F1 9.8 Tf [(Effciency for Different Computer Models; Applications for Transport Modeling in Semiconductors and Nanowires. Readership: Applied scientists and mathematicians.)] TJ ET
BT 34.016 337.487 Td /F1 9.8 Tf [(Scientific Computing)] TJ ET
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BT 122.877 337.487 Td /F1 9.8 Tf [( Michael T. Heath 2018-11-14 This book differs from traditional numerical analysis texts in that it focuses on the motivation and ideas behind the algorithms )] TJ ET
BT 34.016 325.583 Td /F1 9.8 Tf [(presented rather than on detailed analyses of them. It presents a broad overview of methods and software for solving mathematical problems arising in computational modeling )] TJ ET
BT 34.016 313.678 Td /F1 9.8 Tf [(and data analysis, including proper problem formulation, selection of effective solution algorithms, and interpretation of results. In the 20 years since its original publication, the )] TJ ET
BT 34.016 301.773 Td /F1 9.8 Tf [(modern, fundamental perspective of this book has aged well, and it continues to be used in the classroom. This Classics edition has been updated to include pointers to Python )] TJ ET
BT 34.016 289.868 Td /F1 9.8 Tf [(software and the Chebfun package, expansions on barycentric formulation for Lagrange polynomial interpretation and stochastic methods, and the availability of about 100 )] TJ ET
BT 34.016 277.964 Td /F1 9.8 Tf [(interactive educational modules that dynamically illustrate the concepts and algorithms in the book. Scientific Computing: An Introductory Survey, Second Edition is intended as )] TJ ET
BT 34.016 266.059 Td /F1 9.8 Tf [(both a textbook and a reference for computationally oriented disciplines that need to solve mathematical problems.)] TJ ET
BT 34.016 254.154 Td /F1 9.8 Tf [(Bayesian Missing Data Problems)] TJ ET
BT 177.058 254.154 Td /F1 9.8 Tf [( Ming T. Tan 2009-08-26 Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing )] TJ ET
BT 34.016 242.249 Td /F1 9.8 Tf [(data problems through explicit or noniterative sampling calculation of Bayesian posteriors. The methods are based on the inverse Bayes formulae discovered by one of the author )] TJ ET
BT 34.016 230.345 Td /F1 9.8 Tf [(in 1995. Applying the Bayesian approach to important real-world problems, the authors focus on exact numerical solutions, a conditional sampling approach via data )] TJ ET
BT 34.016 218.440 Td /F1 9.8 Tf [(augmentation, and a noniterative sampling approach via EM-type algorithms. After introducing the missing data problems, Bayesian approach, and posterior computation, the )] TJ ET
BT 34.016 206.535 Td /F1 9.8 Tf [(book succinctly describes EM-type algorithms, Monte Carlo simulation, numerical techniques, and optimization methods. It then gives exact posterior solutions for problems, such )] TJ ET
BT 34.016 194.630 Td /F1 9.8 Tf [(as nonresponses in surveys and cross-over trials with missing values. It also provides noniterative posterior sampling solutions for problems, such as contingency tables with )] TJ ET
BT 34.016 182.726 Td /F1 9.8 Tf [(supplemental margins, aggregated responses in surveys, zero-inflated Poisson, capture-recapture models, mixed effects models, right-censored regression model, and )] TJ ET
BT 34.016 170.821 Td /F1 9.8 Tf [(constrained parameter models. The text concludes with a discussion on compatibility, a fundamental issue in Bayesian inference. This book offers a unified treatment of an array )] TJ ET
BT 34.016 158.916 Td /F1 9.8 Tf [(of statistical problems that involve missing data and constrained parameters. It shows how Bayesian procedures can be useful in solving these problems.)] TJ ET
BT 36.266 125.021 Td /F1 8.0 Tf [(approximating-integrals-via-monte-carlo-and-deterministic-methods)] TJ ET
BT 583.736 125.228 Td /F1 8.0 Tf [(Downloaded from )] TJ ET
BT 648.648 125.021 Td /F1 8.0 Tf [(butik-tiff.dk)] TJ ET
BT 687.328 125.228 Td /F1 8.0 Tf [( on September 24, 2022 by guest)] TJ ET
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