A FIRST COURSE IN BAYESIAN STATISTICAL METHODS SPRINGER TEXTS IN STATISTICS

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A First Course In Bayesian Statistical Methods

Author : Peter D. Hoff
ISBN : 0387924078
Genre : Mathematics
File Size : 29.90 MB
Format : PDF, Kindle
Download : 288
Read : 190

A self-contained introduction to probability, exchangeability and Bayes’ rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
Category: Mathematics

A First Course In Bayesian Statistical Methods

Author : Peter D. Hoff
ISBN : 1441928286
Genre : Mathematics
File Size : 76.62 MB
Format : PDF, Docs
Download : 614
Read : 383

A self-contained introduction to probability, exchangeability and Bayes’ rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
Category: Mathematics

A First Course In Bayesian Statistical Methods

Author : Peter D. Hoff
ISBN : 0387922997
Genre : Mathematics
File Size : 40.74 MB
Format : PDF
Download : 674
Read : 153

A self-contained introduction to probability, exchangeability and Bayes’ rule provides a theoretical understanding of the applied material. Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
Category: Mathematics

The Bayesian Choice

Author : Christian Robert
ISBN : 9780387715995
Genre : Mathematics
File Size : 89.43 MB
Format : PDF, ePub
Download : 396
Read : 610

This is an introduction to Bayesian statistics and decision theory, including advanced topics such as Monte Carlo methods. This new edition contains several revised chapters and a new chapter on model choice.
Category: Mathematics

Monte Carlo Statistical Methods

Author : Christian Robert
ISBN : 9781475730715
Genre : Mathematics
File Size : 62.97 MB
Format : PDF, ePub
Download : 904
Read : 854

We have sold 4300 copies worldwide of the first edition (1999). This new edition contains five completely new chapters covering new developments.
Category: Mathematics

Bayesian Essentials With R

Author : Jean-Michel Marin
ISBN : 9781461486879
Genre : Computers
File Size : 44.92 MB
Format : PDF, ePub, Docs
Download : 154
Read : 1067

This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called bayess, the book provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical and philosophical justifications. Readers are empowered to participate in the real-life data analysis situations depicted here from the beginning. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book. In particular, all R codes are discussed with enough detail to make them readily understandable and expandable. Bayesian Essentials with R can be used as a textbook at both undergraduate and graduate levels. It is particularly useful with students in professional degree programs and scientists to analyze data the Bayesian way. The text will also enhance introductory courses on Bayesian statistics. Prerequisites for the book are an undergraduate background in probability and statistics, if not in Bayesian statistics.
Category: Computers

Bayesian Core A Practical Approach To Computational Bayesian Statistics

Author : Jean-Michel Marin
ISBN : 9780387389790
Genre : Computers
File Size : 48.36 MB
Format : PDF, Kindle
Download : 195
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This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models, it provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical justifications.
Category: Computers

Statistical Models And Methods For Financial Markets

Author : Tze Leung Lai
ISBN : 9780387778273
Genre : Business & Economics
File Size : 75.53 MB
Format : PDF, Kindle
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The idea of writing this bookarosein 2000when the ?rst author wasassigned to teach the required course STATS 240 (Statistical Methods in Finance) in the new M. S. program in ?nancial mathematics at Stanford, which is an interdisciplinary program that aims to provide a master’s-level education in applied mathematics, statistics, computing, ?nance, and economics. Students in the programhad di?erent backgroundsin statistics. Some had only taken a basic course in statistical inference, while others had taken a broad spectrum of M. S. - and Ph. D. -level statistics courses. On the other hand, all of them had already taken required core courses in investment theory and derivative pricing, and STATS 240 was supposed to link the theory and pricing formulas to real-world data and pricing or investment strategies. Besides students in theprogram,thecoursealso attractedmanystudentsfromother departments in the university, further increasing the heterogeneity of students, as many of them had a strong background in mathematical and statistical modeling from the mathematical, physical, and engineering sciences but no previous experience in ?nance. To address the diversity in background but common strong interest in the subject and in a potential career as a “quant” in the ?nancialindustry,thecoursematerialwascarefullychosennotonlytopresent basic statistical methods of importance to quantitative ?nance but also to summarize domain knowledge in ?nance and show how it can be combined with statistical modeling in ?nancial analysis and decision making. The course material evolved over the years, especially after the second author helped as the head TA during the years 2004 and 2005.
Category: Business & Economics

All Of Statistics

Author : Larry Wasserman
ISBN : 9780387217369
Genre : Mathematics
File Size : 58.95 MB
Format : PDF, ePub, Mobi
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Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Category: Mathematics

Bayesian Survival Analysis

Author : Joseph G. Ibrahim
ISBN : 9781475734478
Genre : Medical
File Size : 57.34 MB
Format : PDF, ePub, Mobi
Download : 441
Read : 679

Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. It presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all from the health sciences, including cancer, AIDS, and the environment.
Category: Medical