| Názov : | Bayes rules! : an introduction to Bayesian modeling with R / | | Typ dokumentu: | printed text | | Autori: | Alicia A. Johnson ; Miles Q. Ott ; Mine Dogucu | | Vydavateľ: | London : Paul Chapman Pub. | | Dátum vydania: | 2022 | | Stránkovanie: | pages cm | | ISBN (alebo iný kód): | 978-0-367-25539-8 | | Číslo MDT: | 519.5/42 | | Abstrakt: | "An engaging, sophisticated, and fun introduction to the field of Bayesian Statistics, Bayes Rules! An Introduction to Bayesian Modeling with R brings the power of modern Bayesian thinking, modeling, and computing to a broad audience. In particular, it is an ideal resource for advanced undergraduate Statistics students and practitioners with comparable experience. Bayes Rules! empowers readers to weave Bayesian approaches into their everyday practice. Discussions and applications are data driven. A natural progression from fundamental to multivariable, hierarchical models emphasizes a practical and generalizable model building process. The evaluation of these Bayesian models reflects the fact that a data analysis does not exist in a vacuum"-- |
Bayes rules! : an introduction to Bayesian modeling with R / [printed text] / Alicia A. Johnson ; Miles Q. Ott ; Mine Dogucu . - London : Paul Chapman Pub., 2022 . - pages cm. ISBN : 978-0-367-25539-8 | Číslo MDT: | 519.5/42 | | Abstrakt: | "An engaging, sophisticated, and fun introduction to the field of Bayesian Statistics, Bayes Rules! An Introduction to Bayesian Modeling with R brings the power of modern Bayesian thinking, modeling, and computing to a broad audience. In particular, it is an ideal resource for advanced undergraduate Statistics students and practitioners with comparable experience. Bayes Rules! empowers readers to weave Bayesian approaches into their everyday practice. Discussions and applications are data driven. A natural progression from fundamental to multivariable, hierarchical models emphasizes a practical and generalizable model building process. The evaluation of these Bayesian models reflects the fact that a data analysis does not exist in a vacuum"-- |
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Spresnite vaše vyhľadávanieBayes rules! / Alicia A. Johnson
