Bayesian Theory and Applications

Bayesian Theory and Applications

by Damien, Paul

Type Book
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Title Statements

  • Full title :Bayesian Theory and Applications

Edition Statements

  • Publication Date:2013

Publication Statements

The Physical Object

  • Description:702 p.

Edition Identifiers

  • ISBN:9780198739074, 9780199695607, 0199695601, 0198739079
  • oclc:ocn910532362
  • Dewey Decimal:519.542

Table of Contents

Introduction ; I EXCHANGEABILITY ; 1. Observables and Models: exchangeability and the inductive argument ; 2. Exchangeability and its Ramifications ; II HIERARCHICAL MODELS ; 3. Hierarchical Modeling ; 4. Bayesian Hierarchical Kernel Machines for Nonlinear Regression and Classification ; 5. Flexible Bayesian modelling for clustered categorical responses in developmental toxicology ; III MARKOV CHAIN MONTE CARLO ; 6. Markov chain Monte Carlo Method ; 7. Advances in Markov chain Monte Carlo ; IV DYNAMIC MODELS ; 8. Bayesian Dynamic Modelling ; 9. Hierarchical modeling in time series: the factor analytic approach ; 10. Dynamic and spatial modeling of block maxima extremes V SEQUENTIAL MONTE CARLO ; 11. Online Bayesian learning in dynamic models: An illustrative introduction to particle methods ; 12. Semi-supervised Classification of Texts Using Particle Learning for Probabilistic Automata ; V NONPARAMETRICS ; 13. Bayesian Nonparametrics ; 14. Geometric Weight Priors and their Applications ; 15. Revisiting Bayesian Curve Fitting Using Multivariate Normal Mixtures ; VII SPLINE MODELS AND COPULAS ; 16. Applications of Bayesian Smoothing Splines ; 17. Bayesian Approaches to Copula Modell…

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