Bayesian and likelihood inference from equally weighted mixtures
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Publication:1336520
DOI10.1007/BF01720581zbMath0806.62003MaRDI QIDQ1336520
John S. J. Hsu, James F. Murray, Kam-Wah Tsui, Thomas Leonard
Publication date: 12 February 1995
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
EM algorithmimportance samplingGibbs samplingbinomial mixturesWeibull distributionsimportance functionexponential mixturesequally weighted mixture modelsestimation of discrete distributionsexact Bayesian computationsgeneralization of the maximum likelihood procedurepermutable Bayesian marginalizationprecise finite sample inferencessurvivor distributionstruncated multivariate t-distribution
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- The geometry of mixture likelihoods, part II: The exponential family
- Antithetic acceleration of Monte Carlo integration in Bayesian inference
- Exact predictive densities for linear models with ARCH disturbances
- A Monte Carlo method for high dimensional integration
- Statistical inference for multiple choice tests
- Bayesian inference for a covariance matrix
- A Gaussian sum approach to the multi-target identification-tracking problem
- Maximum likelihood estimation of a compound Poisson process
- Recursive Bayesian estimation using Gaussian sums
- A Monte Carlo method for an objective Bayesian procedure
- Remarks on Some Nonparametric Estimates of a Density Function
- Nonparametric Estimation from Incomplete Observations
- Approaches for Empirical Bayes Confidence Intervals
- Sampling-Based Approaches to Calculating Marginal Densities
- Accurate Approximations for Posterior Moments and Marginal Densities
- The Calculation of Posterior Distributions by Data Augmentation
- Algorithm AS 221: Maximum Likelihood Estimation of a Mixing Distribution
- Approximate Bayesian analysis of censored survival data
- Empirical bayes estimates using the nonparametric maximum likelihood estimate for the priort
- Towards a practicable Bayesian nonparametric density estimator
- A Bayesian method for classification and discrimination
- Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
- A maximum likelihood estimation method for random coefficient regression models
- Bayesian methods for binomial data