Doing Bayesian data analysis : a tutorial with R, JAGS, and stan /

John Kruschke.
Bok · Engelsk · 2015 John K. Kruschke,· Electronic books

Annen tittel	Doing Bayesian Data Analysis
Utgitt	Amsterdam : Elsevier , cop. 2015
Omfang	1 online resource (xii, 759 pages ) : illustrations ;
Utgave	2E [edition].
Opplysninger	Bibliographic Level Mode of Issuance: Monograph. - What's in this book (Read this first!) -- Part I The basics: models, probability, Bayes' rule and r: Introduction: credibility, models, and parameters; The R programming language; What is this stuff called probability?; Bayes' rule -- Part II All the fundamentals applied to inferring a binomila probability: Inferring a binomial probability via exact mathematical analysis; Markov chain Monte Carlo; JAGS; Hierarchical models; Model comparison and hierarchical modeling; Null hypothesis significance testing; Bayesian approaches to testing a point ("Null") hypothesis; Goals, power, and sample size; Stan -- Part III The generalized linear model: Overview of the generalized linear model; 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; Metric predicted variable with multiple nominal predictors; Dichotomous predicted variable; Nominal predicted variable; Ordinal predicted variable; Count predicted variable; Tools in the trunk -- Bibliography -- Index.. - Provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data.
Emner	Bayesian statistical decision theory. R (Computer program language) Mathematical Statistics Mathematics Vis mer... Physical Sciences & Mathematics dataprogrammering bayes-analyse statistikk analyse sannsynlighetsregning
Sjanger	Electronic books
Dewey	519.5/42 . - 519.5
ISBN	0124058884. - 9780124058880