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Practical Nonparametric and Semiparametric Bayesian Statistics

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ISBN-10: 0387985174

ISBN-13: 9780387985176

Edition: 1998

Authors: Dipak Dey, Peter M�ller, Debajyoti Sinha

List price: $189.00
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Description:

A compilation of original articles by Bayesian experts, this volume presents perspectives on recent developments on nonparametric and semiparametric methods in Bayesian statistics. The articles discuss how to conceptualize and develop Bayesian models using rich classes of nonparametric and semiparametric methods, how to use modern computational tools to summarize inferences, and how to apply these methodologies through the analysis of case studies.
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Book details

List price: $189.00
Copyright year: 1998
Publisher: Springer
Publication date: 5/28/1998
Binding: Paperback
Pages: 392
Size: 6.25" wide x 9.25" long x 1.00" tall
Weight: 1.232
Language: English

Peter M�ller is a Professor in the Department of Biostatistics and Applied Mathematics at the University of Texas M. D. Anderson Cancer Center. His research interests and contributions are in the areas of Markov chain Monte Carlo posterior simulation, nonparametric Bayesian inference, hierarchical models, mixture models and Bayesian decisions problems.

Computing Nonparametric Hierarchical Models
Computational Methods for Mixture of Dirichlet Process Models
Nonparametric Bayes Methods Using Predictive Updating
Dynamic Display of Changing Posterior in Bayesian Survival Analysis
Semiparametric Bayesian Methods for Random Effects Models
Nonparametric Bayesian Group Sequential Design
Wavelet-Based Nonparametric Bayes Methods
Nonparametric Estimation of Irregular Functions with Independent or Autocorrelated Errors
Feedforward Neural Networks for Nonparametric Regression
Survival Analysis Using Semiparametric Bayesian Methods
Bayesian Nonparametric and Covariate Analysis of Failure Time Data
Simulation of Levy Random Fields
Sampling Methods for Bayesian Nonparametric Inference Involving Stochastic Processes
Curve and Surface Estimation Using Dynamic Step Functions
Prior Elicitation for Semiparametric Bayesian Survival Analysis
Asymptotic Properties of Nonparametric Bayesian Procedures
Modeling Travel Demand in Portland, Oregon
Semiparametric PK/PD Models
A Bayesian Model for Fatigue Crack Growth
A Semiparametric Model for Labor Earnings Dynamics