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73
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Regeneration in Markov Chain Samplers
– Per Mykland, Luke Tierney, Bin Yu
- 1994
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42
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Bayesian Curve Fitting Using Multivariate Normal Mixtures
– Peter Müller, Alaattin Erkanli, Mike West
- 1992
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13
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MCMC methods for continuous-time financial econometrics
– Michael Johannes, Nicholas Polson
- 2003
|
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20
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Computing Nonparametric Hierarchical Models
– Michael D. Escobar, Mike West
- 1998
|
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26
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Methods for Approximating Integrals in Statistics with Special Emphasis on Bayesian Integration Problems
– Michael Evans, Tim Swartz
|
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7
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Prior Information and Generalized Questions
– Jörg C. Lemm
- 1996
|
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164
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Minorization Conditions and Convergence Rates for Markov Chain Monte Carlo
– Jeffrey S. Rosenthal
- 1995
|
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36
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Generalized weighted Chinese restaurant processes for species sampling mixture models
– Hemant Ishwaran, Lancelot F. James
- 2003
|
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8
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Bayesian Models for Non-Linear Autoregressions
– Peter Müller, Mike West, Steven MacEachern
- 1994
|
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21
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Studying Convergence of Markov Chain Monte Carlo Algorithms Using Coupled Sample Paths
– Valen E. Johnson
- 1994
|
|
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Nonparametric Bayesian Clinical Trial Design for Continuous Patient Response
– Pantelis K. Vlachos, Alan E. Gelfand
|
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2
|
Bayesian Nonparametric Mixture Modeling
– Guoliang Cao, Guoliang Cao, Donald Burdick, Donald Burdick, Michael Lavine, Michael Lavine, Peter Muller, Peter Muller, Dennis A. Turner, Dennis A. Turner
- 1993
|
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4
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Approaches for Semiparametric Bayesian Regression
– Alan E. Gelfand
- 1997
|
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5
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On Nonparametric Bayesian Inference for the Distribution of a Random Sample
– Alan E. Gelfand, Saurabh Mukhopadhyay
- 1995
|
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44
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More Aspects of Polya Tree Distributions for Statistical Modelling
– Michael Lavine
- 1994
|
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5
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Alternatives to the Gibbs Sampling Scheme
– Peter Müller
- 1992
|
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45
|
Computable bounds for geometric convergence rates of Markov chains
– Sean Meyn, R. L. Tweedie
- 1994
|
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135
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Rates of convergence of the Hastings and Metropolis algorithms
– K. L. Mengersen, R. L. Tweedie
- 1996
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Variance Reduction
– In Any
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