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Doing Bayesian Data Analysis


Engels | 22-01-2022 | 776 pagina's

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2nd edition.

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.



Details

    ISBN :9780124058880
    Auteur: 
    Uitgever :Academic Press Inc
    Publicatiedatum :  22-01-2022
    Uitvoering :Hardback
    Taal :Engels
    Hoogte :150 mm
    Breedte :210 mm
    Dikte :22 mm
    Gewicht :419 gr
    Status :Te bestellen bij leverancier
    Aantal pagina's :776