Bayesian and likelihood inference from equally weighted mixtures
Copyright policy )Bayesian and likelihood inference from equally weighted mixtures
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- University of California, Santa Barbara United States
- University of Iowa United States
- University of Wisconsin–Madison United States
- University of Wisconsin–Oshkosh United States
Point estimation, binomial mixtures, permutable Bayesian marginalization, precise finite sample inferences, importance sampling, survivor distributions, exact Bayesian computations, Gibbs sampling, equally weighted mixture models, exponential mixtures, estimation of discrete distributions, Foundations and philosophical topics in statistics, truncated multivariate t-distribution, Weibull distributions, EM algorithm, generalization of the maximum likelihood procedure, importance function
Point estimation, binomial mixtures, permutable Bayesian marginalization, precise finite sample inferences, importance sampling, survivor distributions, exact Bayesian computations, Gibbs sampling, equally weighted mixture models, exponential mixtures, estimation of discrete distributions, Foundations and philosophical topics in statistics, truncated multivariate t-distribution, Weibull distributions, EM algorithm, generalization of the maximum likelihood procedure, importance function
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