Statistical Rethinking
A Bayesian Course with R Examples
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Word Count
121,750 words, Guess
Page Count
487 pages
Identifiers
- ISBN-139781482253443
- ISBN-101482253445
- Library of Congress Control Number2015032008
- OCLC Control Number920672225
- Better World Books9781482253443
and 1 more
- Open LibraryOL28584486M
Classifications
- LCCQA279.5.M3975
- LCCQA279.5 .M3975
- LCCQA279.5 .M3975 2016
Description
"Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation." --Publisher's website.
Subjects
Other Editions
- Statistical Rethinking: A Bayesian Course with R Examples
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