• Title: An Introduction to Bayesian Thinking
• Author(s) Merlise Clyde, Mine Çetinkaya-Rundel, Colin Rundel, David Banks, Christine Chai, Lizzy Huang
• Publisher: GitHub (2021-02-19)
• Paperback: N/A
• eBook: HTML
• Language: English
• ISBN-10/ASIN: N/A
• ISBN-13: 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 open-access 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.

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• Amazon

• Bayesian Thinking
• The R Programming Language
• Statistics, Mathematical Statistics
• Probability and Stochastic
• Data Processing, Data Analysis and Data Mining

• An Introduction to Bayesian Thinking (Merlise Clyde, et al.)
• PDF Format
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