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The BUGS book : a practical introduction to Bayesian analysis
Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical introduct...
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| Format : | Livre |
|---|---|
| Langue : | anglais |
| Titre complet : | The BUGS book : a practical introduction to Bayesian analysis / David Lunn, Christopher Jackson, Nicky Best, Andrew Thomas, David Spiegelhalter |
| Publié : |
Boca Raton (Fla.), London, New York (N.Y.) :
CRC Press
, cop. 2013 |
| Description matérielle : | 1 vol. (xvii-381 p.) |
| Collection : | Texts in statistical science |
| Contenu : | Introduction: Probability and Parameters. Monte Carlo Simulations Using BUGS. Introduction to Bayesian Inference. Introduction to Markov Chain Monte Carlo Methods. Prior Distributions. Regression Models. Categorical Data. Model Checking and Comparison. Issues in Modelling. Hierarchical Models. Specialised Models. Different Implementations of BUGS. A Appendix: BUGS Language Syntax. B Appendix: Functions in BUGS. C Appendix: Distributions in BUGS |
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| 200 | 1 | |a The BUGS book |e a practical introduction to Bayesian analysis |f David Lunn, Christopher Jackson, Nicky Best, Andrew Thomas, David Spiegelhalter | |
| 210 | |a Boca Raton (Fla.) |a London |a New York (N.Y.) |c CRC Press |d cop. 2013 | ||
| 215 | |a 1 vol. (xvii-381 p.) |c ill. |d 24 cm | ||
| 225 | 2 | |a Texts in statistical science | |
| 225 | 0 | |a A Chapman & Hall book | |
| 300 | |a BUGS = Bayesian inference Using Gibbs Sampler | ||
| 320 | |a Bibliogr. p. 357-371. Index | ||
| 327 | | | |a Introduction: Probability and Parameters. Monte Carlo Simulations Using BUGS. Introduction to Bayesian Inference. Introduction to Markov Chain Monte Carlo Methods. Prior Distributions. Regression Models. Categorical Data. Model Checking and Comparison. Issues in Modelling. Hierarchical Models. Specialised Models. Different Implementations of BUGS. A Appendix: BUGS Language Syntax. B Appendix: Functions in BUGS. C Appendix: Distributions in BUGS | |
| 330 | |a Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to this program and its use. The text presents complete coverage of all the functionalities of BUGS, including prediction, missing data, model criticism, and prior sensitivity. It also features a large number of worked examples and a wide range of applications from various disciplines. | ||
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