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Can I read Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science Book 106) on EtoBox?

Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science Book 106) by Carlin, John B.;Dunson, David B.;Gelman, Andrew;Rubin, Donald B.;Stern, Hal S.;Vehtari, Aki is a nonfiction available to read on EtoBox.

What is Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science Book 106) about?

Cover; Series; Contents; Preface; Part I: Fundamentals of Bayesian Inference; Chapter 1: Probability and Inference; Chapter 2: Single-parameter Models; Chapter 3: Introduction to Multiparameter Models; Chapter 4: Asymptotics and Connections to non-Bayesian Approaches; Chapter 5: Hierarchical Models; Part II: Fundamentals of Bayesian Data Analysis; Chapter 6: Model Checking; Chapter 7: Evaluating, Comparing, and Expanding Models; Chapter 8: Modeling Accounting for Data Collection; Chapter 9: Decision Analysis; Part III: Advanced Computation; Chapter 10: Introduction to Bayesian Computation. Chapter 11: Basics of Markov Chain SimulationChapter 12: Computationally Efficient Markov Chain Simulation; Chapter 13: Modal and Distributional Approximations; Part IV: Regression Models; Chapter 14: Introduction to Regression Models; Chapter 15: Hierarchical Linear Models; Chapter 16: Generalized Linear Models; Chapter 17: Models for Robust Inference; Chapter 18: Models for Missing Data; Part V: Nonlinear and Nonparametric Models; Chapter 19: Parametric Nonlinear Models; Chapter 20: Basis Function Models; Chapter 21: Gaussian Process Models; Chapter 22: Finite Mixture Models. Chapter 23: Dirich

Who reads Bayesian Data Analysis (Chapman & Hall/CRC Texts in Statistical Science Book 106)?

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

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

Author
Carlin, John B.;Dunson, David B.;Gelman, Andrew;Rubin, Donald B.;Stern, Hal S.;Vehtari, Aki
Publisher
CRC Press LLC
Published
2013
Language
EN
ISBN
9781040062340
Category
nonfiction
Subjects
Mathematics, Computer Science, Science
Rating
4.5 / 5 (2 ratings)
Updated
2026-03-24

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