Can I read A First Course in Bayesian Statistical Methods Springer Texts in Statistics on EtoBox?

A First Course in Bayesian Statistical Methods Springer Texts in Statistics by Peter D. Hoff (auth.) is a mathematics available to read on EtoBox.

What is A First Course in Bayesian Statistical Methods Springer Texts in Statistics about?

This book provides a compact self-contained introduction to the theory and application of Bayesian statistical methods. The book is accessible to readers having a basic familiarity with probability, yet allows more advanced readers to quickly grasp the principles underlying Bayesian theory and methods. The examples and computer code allow the reader to understand and implement basic Bayesian data analyses using standard statistical models and to extend the standard models to specialized data analysis situations. The book begins with fundamental notions such as probability, exchangeability and Bayes' rule, and ends with modern topics such as variable selection in regression, generalized linear mixed effects models, and semiparametric copula estimation. Numerous examples from the social, biological and physical sciences show how to implement these methodologies in practice. Monte Carlo summaries of posterior distributions play an important role in Bayesian data analysis. The open-source R statistical computing environment provides sufficient functionality to make Monte Carlo estimation very easy for a large number of statistical models and example R-code is provided throughout the t

Who reads A First Course in Bayesian Statistical Methods Springer Texts in Statistics?

Author

Peter D. Hoff (auth.)

Publisher

Springer New York : Imprint: Springer

Published

2009

Language

EN

ISBN

9781441928283

Category

mathematics

Subjects

Social Science, Computer Science, Sociology

Rating

4.2 / 5 (54 ratings)

Updated

2026-03-14