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 Title: An Introduction to Bayesian Thinking
 Author(s) Merlise Clyde, Mine Ã‡etinkayaRundel, Colin Rundel, David Banks, Christine Chai, Lizzy Huang
 Publisher: GitHub (20210219)
 Paperback: N/A
 eBook: HTML
 Language: English
 ISBN10/ASIN: N/A
 ISBN13: N/A
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Book Description
The goal of this book is to provide an introduction to Bayesian Inference in decision making without requiring calculus. It may be used on its own as an openaccess introduction to Bayesian inference using R Programming Language for anyone interested in learning about Bayesian statistics.
The book focuses on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models (GLM). The authors include many examples with complete R code and comparisons with analogous frequentist procedures.
About the Authors N/A
 Bayesian Thinking
 The R Programming Language
 Statistics, Mathematical Statistics
 Probability and Stochastic
 Data Processing, Data Analysis and Data Mining

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