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Estimation of finite mixture models when the mixing distribution support is unknown is an important and challenging problem. In this paper, a new approach is given based on the recently proposed predi...
Predictive recursion (PR) is a fast stochastic algorithm for nonparametric estimation of mixing distributions in mixture models.
Predictive recursion is an accurate and computationally efficient algorithm for nonparametric estimation of mixing densities in mixture models. In semiparametric mixture models, however, the algorithm...
We calculate Voicdescu's R-transform of the compactly supported probability measure on R induced from the orthogonal polynomials with a constant recursion formula, and investigate its infinite divi...
We use Haff’s fundamental identity to express the expectation of Sp in lower-order terms, where Sfollows the central Wishart distribution.

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