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Abstract: Widely used parametric generalized linear models are, unfortunately, a somewhat limited class of specifications. Nonparametric aspects are often introduced to enrich this class, resulting in semiparametric models. Focusing on single or k-sample problems, many classical nonparametric approaches are limited to hypothesis testing. Those that allow estimation are limited to certain functionals of the underlying distributions. Moreover, the associated inference often relies upon asymptotics... (Update)
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BibTeX entry: (Update)
Gelfand, A.E., and Kottas, A. (1999), \A Computational Approach for Full Nonparametric Bayesian Inference in Single and Multiple Sample Problems," Technical Report 99-08, University of Connecticut, Department of Statistics. http://citeseer.ist.psu.edu/gelfand01computational.html More
@misc{ gelfand99computational,
author = "A. Gelfand and A. Kottas",
title = "A Computational Approach for Full Nonparametric Bayesian Inference in Single
and Multiple Sample Problems",
text = "Gelfand, A.E., and Kottas, A. (1999), \A Computational Approach for Full
Nonparametric Bayesian Inference in Single and Multiple Sample Problems,
Technical Report 99-08, University of Connecticut, Department of Statistics.",
year = "1999",
url = "citeseer.ist.psu.edu/gelfand01computational.html" }
Citations (may not include all citations):424 Sampling-Based Approaches to Calculating Marginal Densities (context) - Gelfand, Smith - 1990
194 Continuous Univariate Distributions (context) - Johnson, Kotz et al. - 1995
169 Mixtures of Dirichlet Processes With Applications to Bayesia.. (context) - Antoniak - 1974
168 A Bayesian Analysis of Some Nonparametric Problems (context) - Ferguson - 1973
150 On Bayesian Analysis of Mixtures With an Unknown Number of C.. - Richardson, Green - 1997
140 Bayesian Density Estimation and Inference Using Mixtures - Escobar, West - 1995
60 Markov Chain Sampling Methods for Dirichlet Process Mixture .. (context) - Neal - 2000
54 Estimation of Finite Mixture Distributions through Bayesian .. (context) - Diebolt, Robert - 1994
35 Prior Distributions on Spaces of Probability Measures (context) - Ferguson - 1974
34 Statistical Methods (context) - Snedecor, Cochran - 1989
31 Estimating Mixture of Dirichlet Process Models - MacEachern, Muller - 1998
30 Estimating Normal Means With a Dirichlet Process Prior (context) - Escobar - 1994
24 Bayesian Nonparametric Estimation for Incomplete Data via Su.. (context) - Doss - 1994
21 Density Estimation With Confidence Sets Exemplified by Super.. (context) - Roeder - 1990
18 A Semiparametric Bayesian Model for Randomised Block Designs (context) - Bush, MacEachern - 1996
[Article contains additional citations not shown here]
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