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Probability and Bayesian Modeling
ISBN/GTIN

Probability and Bayesian Modeling

BookHardcover
Ranking63366inPsychologie
CHF133.00

Description

Bayesian statistics has been advancing in many aspects in recent years. Bayesian learning provides a natural framework for students to solve scientific problems. This book provides an introduction to Bayesian analysis for undergraduate students with calculus, statistics, and a computational background.
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Details

ISBN/GTIN978-1-138-49256-1
Product TypeBook
BindingHardcover
Publishing date18/12/2019
Edition1. A.
SeriesChapman & Hall/CRC Texts in Statistical Science
Pages552 pages
LanguageEnglish
SizeWidth 156 mm, Height 234 mm
Weight2410 g
IllustrationsFarb., s/w. Abb.
Article no.41271677
CatalogsBuchzentrum
Data source no.32591428
Product groupPsychologie
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Author

Jim Albert is a Distinguished University Professor of Statistics at Bowling Green State University. His research interests include Bayesian modeling and applications of statistical thinking in sports. He has authored or coauthored several books including Ordinal Data Modeling, Bayesian Computation with R, and Workshop Statistics: Discovery with Data, A Bayesian Approach.

Jingchen (Monika) Hu is an Assistant Professor of Mathematics and Statistics at Vassar College. She teaches an undergraduate-level Bayesian Statistics course at Vassar, which is shared online across several liberal arts colleges. Her research focuses on dealing with data privacy issues by releasing synthetic data.