Can I read Bayesian Theory and Applications on EtoBox?

Bayesian Theory and Applications by Damien, Paul. is a book available to read on EtoBox.

What is Bayesian Theory and Applications about?

Cover 1 Contents 8 Contributors 11 Introduction 13 Part I: Exchangeability 16 1 Observables and models: exchangeability and the inductive argument 18 2 Exchangeability and its ramifications 34 Part II: Hierarchical Models 46 3 Hierarchical modelling 48 4 Bayesian hierarchical kernel machines for nonlinear regression and classification 65 5 Flexible Bayesian modelling for clustered categorical responses in developmental toxicology 85 Part III: Markov Chain Monte Carlo 100 6 Markov chain Monte Carlo methods 102 7 Advances in Markov chain Monte Carlo 119 Part IV: Dynamic Models 158 8 Bayesian dynamic modelling 160 9 Hierarchical modelling in time series: the factor analytic approach 182 10 Dynamic and spatial modelling of block maxima extremes 198 Part V: Sequential Monte Carlo 216 11 Online Bayesian learning in dynamic models: an illustrative introduction to particle methods 218 12 Semi-supervised classification of texts using particle learning for probabilistic automata 244 Part VI: Nonparametrics 262 13 Bayesian nonparametrics 264 14 Geometric weight priors and their applications 286 15 Revisiting Bayesian curve fitting using multivariate normal mixtures 312 Part VII: Spline Models

Author

Damien, Paul.

Language

EN