Computations of mixtures of dirichlet processes

Keywords

Monte Carlo method, Estimator, Mathematics, Computation, Dirichlet distribution

References

• Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric ProblemsC. Antoniak — 1974
• The jackknife-a reviewRupert G. Miller — 1974
• Monte Carlo MethodsJ. M. Hammersley, D. C. Handscomb — 1964
• Empirical Bayes estimation of the binomial parameterHarry F. Martz, M. G. Lian — 1974
• Nonparametric functional estimationPrakasa Rao — 1983
• A Bayesian Analysis of Some Nonparametric ProblemsThomas S. Ferguson — 1973
• Empirical Bayes Estimation of a Binomial Parameter Via Mixtures of Dirichlet ProcessesDonald A. Berry, Ronald Christensen — 1979
• Data Analysis Using Stein's Estimator and its GeneralizationsBradley Efron, Carl N. Morris — 1975
• MONTE CARLO METHODS FOR SOLVING MULTIVARIABLE PROBLEMSJ. M. Hammersley — 1960
• Computations and applications of mixtures of dirichlet processesLynn Kuo — 1980
• Linear Statistical Inference and Its Applications.Craig Robertson, C. Mallikarjuna Rao — 1975

Cited by

• A note on convergence rates of Gibbs sampling for nonparametric mixtures.Sonia Petrone, Gareth O. Roberts, Jeffrey S. Rosenthal — 1999
• Semiparametric Bayesian analysis: Selection models and meteorological applicationsJaeyong Lee — 1998
• Approximate Dirichlet Process Computing in Finite Normal MixturesHemant Ishwaran, Lancelot F. James — 2002
• Bayes estimation of the reliability of a system under a random environment governed by a dirichlet priorSomesh Kumar, Ram C. Tiwari — 1989
• Sequential importance sampling for nonparametric Bayes models: The next generationSteven N. MacEachern, Merlise A. Clyde, Jun S. Liu — 1999
• Are Maintenance Practices for Railroad Tracks Effective?Jason R. W. Merrick, Refik Soyer, Thomas A. Mazzuchi — 2005
• Bayesian mixture modeling for spatial Poisson process intensities, with applications to extreme value analysisAthanasios Kottas, Bruno Sansó — 2007
• Bayesian density estimation using ranked set samplesKaushik Ghosh, Ram C. Tiwari — 2004
• Bayesian semiparametric inference for the accelerated failure‐time modelLynn Kuo, Bani K. Mallick — 1997
• Using the gibbs sampler to simulate from the bayes estimate of a decreasing densityLawrence J. Brunner — 1995
• On a class of Bayesian nonparametric estimates: II. Hazard rate estimatesAlbert Y. Lo, Chung‐Sing Weng — 1989
• Getting the Right Mix of ExpertsJason R. W. Merrick — 2008
• Bayesian nonparametric methods for data from a unimodal densityLawrence J. Brunner — 1992
• A note on Bayes empirical Bayes estimation by means of Dirichlet processesLynn Kuo — 1986
• Bayesian nonparametric predictive modeling of group health claimsGilbert W. Fellingham, Athanasios Kottas, Brian Hartman — 2015
• On nonparametric Bayesian inference for the distribution of a random sampleAlan E. Gelfand, Saurabh Mukhopadhyay — 1995
• Dirichlet Process Mixed Generalized Linear ModelsSaurabh Mukhopadhyay, Alan E. Gelfand — 1997
• Prior Distributions on Measure SpaceSibusiso Sibisi, John Skilling — 1997
• A Bayesian Semiparametric Analysis of the Reliability and Maintenance of Machine ToolsJason R. W. Merrick, Refik Soyer, Thomas A. Mazzuchi — 2003
• Bayesian density estimation using bernstein polynomialsSonia Petrone — 1999

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