Doing Bayesian Data Analysis

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Doing Bayesian Data Analysis

Wit and Mirth  Or  Pills to Purge Melancholy
Author: John Kruschke
Publisher: Academic Press
ISBN: 0124059163
Size: 25.60 MB
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Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets. The book is divided into three parts and begins with the basics: models, probability, Bayes’ rule, and the R programming language. The discussion then moves to the fundamentals applied to inferring a binomial probability, before concluding with chapters on the generalized linear model. Topics include metric-predicted variable on one or two groups; metric-predicted variable with one metric predictor; metric-predicted variable with multiple metric predictors; metric-predicted variable with one nominal predictor; and metric-predicted variable with multiple nominal predictors. The exercises found in the text have explicit purposes and guidelines for accomplishment. This book is intended for first-year graduate students or advanced undergraduates in statistics, data analysis, psychology, cognitive science, social sciences, clinical sciences, and consumer sciences in business. Accessible, including the basics of essential concepts of probability and random sampling Examples with R programming language and JAGS software Comprehensive coverage of all scenarios addressed by non-Bayesian textbooks: t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, multiple regression, and chi-square (contingency table analysis) Coverage of experiment planning R and JAGS computer programming code on website Exercises have explicit purposes and guidelines for accomplishment Provides step-by-step instructions on how to conduct Bayesian data analyses in the popular and free software R and WinBugs
Doing Bayesian Data Analysis
Language: en
Pages: 776
Authors: John Kruschke
Categories: Mathematics
Type: BOOK - Published: 2014-11-11 - Publisher: Academic Press
Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and
Doing Bayesian Data Analysis
Language: en
Pages: 672
Authors: John Kruschke
Categories: Mathematics
Type: BOOK - Published: 2010-11-25 - Publisher: Academic Press
There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides an
ICT Innovations 2019. Big Data Processing and Mining
Language: en
Pages: 225
Authors: Sonja Gievska, Gjorgji Madjarov
Categories: Computers
Type: BOOK - Published: 2019-10-14 - Publisher: Springer Nature
This book constitutes the refereed proceedings of the 11th International ICT Innovations Conference, ICT Innovations 2019, held in Ohrid, Macedonia, in October 2019. The 18 full papers presented were carefully reviewed and selected from 75 submissions. They cover the following topics: sensor applications and deployments, embedded and cyber-physical systems, robotics,
R for Marketing Research and Analytics
Language: en
Pages: 454
Authors: Chris Chapman, Elea McDonnell Feit
Categories: Business & Economics
Type: BOOK - Published: 2015-03-09 - Publisher: Springer
This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact
Advances in Parapsychological Research 9
Language: en
Pages: 228
Authors: Stanley Krippner,, Adam J. Rock, Julie Beischel, Harris L. Friedman
Categories: Body, Mind & Spirit
Type: BOOK - Published: 2013-09-03 - Publisher: McFarland
The essays in this volume 9 of a series inform readers of the present status of leading issues in parapsychology (or psi research). The authors are experts in their fields and have written in a reader-friendly way that captures the complexity and importance of their topics. Each essay comprehensively reviews
Quantitative Genetics in the Wild
Language: en
Pages: 288
Authors: Anne Charmantier, Dany Garant, Loeske E. B. Kruuk
Categories: Science
Type: BOOK - Published: 2014-04-03 - Publisher: OUP Oxford
Although the field of quantitative genetics - the study of the genetic basis of variation in quantitative characteristics such as body size, or reproductive success - is almost 100 years old, its application to the study of evolutionary processes in wild populations has expanded greatly over the last few decades.
Applied Logistic Regression
Language: en
Pages: 528
Authors: David W. Hosmer, Jr., Stanley Lemeshow, Rodney X. Sturdivant
Categories: Mathematics
Type: BOOK - Published: 2013-02-26 - Publisher: John Wiley & Sons
A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the power of this model by examining the relationship between a dichotomous outcome and a
Methods in Comparative Plant Population Ecology
Language: en
Pages: 320
Authors: David Gibson
Categories: Science
Type: BOOK - Published: 2014-10-16 - Publisher: OUP Oxford
The field of plant population ecology has advanced considerably in the last decade since the first edition was published. In particular there have been substantial and ongoing advances in statistics and modelling applications in population ecology, as well as an explosion of new techniques reflecting the availability of new technologies
Drug Information: A Guide for Pharmacists, Sixth Edition
Language: en
Pages: 1456
Authors: Patrick M. Malone, Meghan J. Malone, Sharon K. Park
Categories: Medical
Type: BOOK - Published: 2017-12-13 - Publisher: McGraw Hill Professional
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. The guide pharmacists and students turn to first for cutting-edge coverage of drug information A Doody’s Core Title for 2019! The goal of
Bayesian Survival Analysis
Language: en
Pages: 479
Authors: Joseph G. Ibrahim, Ming-Hui Chen, Debajyoti Sinha
Categories: Mathematics
Type: BOOK - Published: 2001-06-26 - Publisher: Springer Science & Business Media
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