Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian ...
Multivariate binary data arise in a variety of settings. In this article we propose a practical and efficient computational ...
This paper considers algorithms for the maximum likelihood estimator of the mixing distribution of a family of parametric densities.
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