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Statistical Rethinking A Bayesian Course with Examples in R and STAN Chapman HallCRC Texts in Statistical Science
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: Statistical Rethinking: A Bayesian Course with ~ 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.
: Statistical Rethinking: A Bayesian Course with ~ Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated.
Statistical Rethinking: A Bayesian Course with Examples in ~ 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.
: Customer reviews: Statistical Rethinking: A ~ Statistical Rethinking: A Bayesian Course with Examples in R and Stan is a great read for any student or professional looking to begin work in Bayesian Inference. I found the books "course format" (see page xii of the preface) annoying at first, but rather helpful as I continued through the material.
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GitHub - rmcelreath/rethinking: Statistical Rethinking ~ rethinking. This R package accompanies a course and book on Bayesian data analysis: McElreath 2020. Statistical Rethinking, 2nd edition, CRC Press. If you are using it with the first edition of the book, please see the notes at the bottom of this file.
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