[Pdf/ePub] Statistical Rethinking: A Bayesian

Statistical Rethinking: A Bayesian Course with Examples in R and STAN / Edition 2. Richard McElreath

Statistical-Rethinking-A.pdf
ISBN: 9780367139919 | 616 pages | 16 Mb

• Statistical Rethinking: A Bayesian Course with Examples in R and STAN / Edition 2
• Richard McElreath
• Page: 616
• Format: pdf, ePub, fb2, mobi
• ISBN: 9780367139919
• Publisher: Taylor & Francis

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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. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

Statistical rethinking [book review] | Xi'an's Og
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Review of Statistical Rethinking: A Bayesian Course with Examples in R and Stan 2. Plan of Statistical Rethinking Statistical Rethinking has a similar focus to other and Hamiltonian Monte Carlo that is the basis of the Stan software (Carpenter et al. The second edition is a considerable update to the original text. Publications | Richard McElreath
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Statistical Rethinking: A Bayesian Course with Examples in R and STAN Book details. ISBN-13: 9780367139919. ISBN-10: 036713991X. Edition: 2. rmcelreath/stat_rethinking_2020: Statistical - GitHub
Statistical Rethinking: A Bayesian Course (with Code Examples in When: Wednesdays 3-4PM CET, starting 2 December 2020 (see full calendar at bottom). We'll use the 2nd edition of my book, Statistical Rethinking. Students can engage with the material using either the original R code examples or one of several  Statistical Rethinking | Taylor & Francis Group
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers' knowledge of and confidence in statistical modeling. Edition 1st Edition. First Published 2016. eBook Published chapter 2|29 pages. Statistical Rethinking | Taylor & Francis Group
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Edition 2nd Edition Engineering & Technology, Health and Social Care, Mathematics & Statistics, Politics & International Relations chapter 2|30 pages.