عنوان

Bayesian data analysis /

(Number (ISBN

1439840962

(Number (ISBN

1439898200

(Number (ISBN

9781439840962

(Number (ISBN

9781439898208

Erroneous ISBN

1439840954

Erroneous ISBN

9781439840955

Number

dltt

Title Proper

Bayesian data analysis /

General Material Designation

[Book]

First Statement of Responsibility

Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin

Edition Statement

Third edition

Edition Statement

Third edition

Specific Material Designation and Extent of Item

1 online resource (xiv, 661 pages) :

Other Physical Details

illustrations.

Series Title

Chapman & Hall/CRC texts in statistical science

Text of Note

Includes bibliographical references (pages 607-639) and indexes

Text of Note

Part I: Fundamentals of Bayesian inference. Probability and inference -- Single-parameter models -- Introduction to multiparameter models -- Asymptotics and connections to non-Bayesian approaches -- Hierarchical models -- Part II: Fundamentals of Bayesian data analysis. Model checking -- Evaluating, comparing, and expanding models -- Modeling accounting for data collection -- Decision analysis -- Part III: Advanced computation. Introduction to Bayesian computation -- Basics of Markov chain simulation -- Computationally efficient Markov chain simulation -- Modal and distributional approximations -- Part IV: Regression models. Introduction to regression models -- Hierarchical linear models -- Generalized linear models -- Models for robust inference -- Models for missing data -- Part V: Nonlinear and nonparametric models. Parametric nonlinear models -- Basis function models -- Gaussian process models -- Finite mixture models -- Dirichlet process models -- A. Standard probability distributions -- B. Outline of proofs of limit theorems -- Computation in R and Stan

0

Text of Note

"Preface This book is intended to have three roles and to serve three associated audiences: an introductory text on Bayesian inference starting from first principles, a graduate text on effective current approaches to Bayesian modeling and computation in statistics and related fields, and a handbook of Bayesian methods in applied statistics for general users of and researchers in applied statistics. Although introductory in its early sections, the book is definitely not elementary in the sense of a first text in statistics. The mathematics used in our book is basic probability and statistics, elementary calculus, and linear algebra. A review of probability notation is given in Chapter 1 along with a more detailed list of topics assumed to have been studied. The practical orientation of the book means that the reader's previous experience in probability, statistics, and linear algebra should ideally have included strong computational components. To write an introductory text alone would leave many readers with only a taste of the conceptual elements but no guidance for venturing into genuine practical applications, beyond those where Bayesian methods agree essentially with standard non-Bayesian analyses. On the other hand, we feel it would be a mistake to present the advanced methods without first introducing the basic concepts from our data-analytic perspective. Furthermore, due to the nature of applied statistics, a text on current Bayesian methodology would be incomplete without a variety of worked examples drawn from real applications. To avoid cluttering the main narrative, there are bibliographic notes at the end of each chapter and references at the end of the book"--

Source for Acquisition/Subscription Address

EBL

Stock Number

1438153

Title

Bayesian data analysis.

International Standard Book Number

1439840954

Cover Title

BDA3

Bayesian statistical decision theory.

Bayesian statistical decision theory.

Number

Edition

Gelman, Andrew

Carlin, John B.

Dunson, David B.

Rubin, Donald B.

Stern, Hal Steven

Vehtari, Aki

Date of Transaction

20170626025635.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y