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Can I read Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science) on EtoBox?

Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science) by Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin, A. Gelman, David B. Dunson, Aki Vehtari is a mathematics available to read on EtoBox.

What is Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science) about?

"Bayesian Data Analysis is a comprehensive treatment of the statistical analysis of data from a Bayesian perspective. Modern computational tools are emphasized, and inferences are typically obtained using computer simulations.". "The principles of Bayesian analysis are described with an emphasis on practical rather than theoretical issues, and illustrated using actual data. A variety of models are considered, including linear regression, hierarchical (random effects) models, robust models, generalized linear models and mixture models.". "Two important and unique features of this text are thorough discussions of the methods for checking Bayesian models and the role of the design of data collection in influencing Bayesian statistical analysis." "Issues of data collection, model formulation, computation, model checking and sensitivity analysis are all considered. The student or practising statistician will find that there is guidance on all aspects of Bayesian data analysis."--BOOK JACKET.

Who reads Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin, A. Gelman, David B. Dunson, Aki Vehtari
Publisher
Chapman and Hall/CRC
Published
2003
Language
EN
ISBN
9780412039911
Category
mathematics
Subjects
Computer Science, Mathematics, Stem
Rating
4.4 / 5 (5 ratings)
Updated
2026-03-14

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