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| fixed length control field |
03542 a2200313 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20240612104113.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240612b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781439840955 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
519.542 |
| Item number |
GEL |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gelman, Andrew |
| 9 (RLIN) |
36256 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Bayesian data analysis |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
3rd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Name of publisher, distributor, etc. |
CRC Press, |
| Date of publication, distribution, etc. |
2019 |
| Place of publication, distribution, etc. |
Boca Raton : |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiv, 667 p. : |
| Dimensions |
26 cm. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
|---|
| Title |
Texts in statistical science |
| 9 (RLIN) |
36335 |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Contents:<br/><br/>Part I: Fundamentals of Bayesian inference. Probability and inference<br/>Single-parameter models<br/>Introduction to multiparameter models<br/>Asymptotics and connections to non-Bayesian approaches<br/>Hierarchical models<br/>Part II: Fundamentals of Bayesian data analysis. Model checking<br/>Evaluating, comparing, and expanding models<br/>Modeling accounting for data collection<br/>Decision analysis<br/>Part III: Advanced computation. Introduction to Bayesian computation<br/>Basics of Markov chain simulation<br/>Computationally efficient Markov chain simulation<br/>Modal and distributional approximations<br/>Part IV: Regression models. Introduction to regression models<br/>Hierarchical linear models<br/>Generalized linear models<br/>Models for robust inference<br/>Models for missing data<br/>Part V: Nonlinear and nonparametric models. Parametric nonlinear models<br/>Basis function models<br/>Gaussian process models<br/>Finite mixture models<br/>Dirichlet process models<br/>A. Standard probability distributions<br/>B. Outline of proofs of limit theorems<br/>Computation in R and Stan. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Summary:<br/><br/>Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors-all leaders in the statistics community-introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice.New to the Third EditionFour new chapters on nonparametric modelingCoverage of weakly informative priors and boundary-avoiding priorsUpdated discussion of cross-validation and predictive information criteriaImproved convergence monitoring and effective sample size calculations for iterative simulationPresentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagationNew and revised software codeThe book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book's web page. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Bayesian statistical decision theory |
| 9 (RLIN) |
36336 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Bayesian probability |
| 9 (RLIN) |
36337 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Bayesian linear regression |
| 9 (RLIN) |
36338 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Bayesian inference |
| 9 (RLIN) |
36339 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Bayesian data analysia |
| 9 (RLIN) |
36340 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Carlin, John B. |
| 9 (RLIN) |
36341 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Stern, Hal Steven. |
| 9 (RLIN) |
36342 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Dunson, David B. |
| 9 (RLIN) |
36343 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Vehtari, Aki |
| 9 (RLIN) |
36344 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Rubin, Donald B. |
| 9 (RLIN) |
36345 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Books |
