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ΚΥΚΛΟΣ ΣΕΜΙΝΑΡΙΩΝ ΣΤΑΤΙΣΤΙΚΗΣ 2024-2025Christos Merkatas,
Department of Statistics and Actuarial-Financial Mathematics
University of the Aegean
Decreasing weights priors and their applications
ΠΕΡΙΛΗΨΗ
Decreasing weight prior distributions for mixture models play an important role in nonparametric Bayesian inference. Various random probability measures with decreasing weights have been previously explored and it has been shown that they provide an efficient alternative to the more traditional Dirichlet process mixture model. In this talk, a general procedure to define any decreasing weights model based on a characterization of a discrete random variable will be given, and their applications in density estimation and system identification problems will be presented.
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Event Venue & Nearby Stays
Τ105, Κτίριο Τροίας, Τσόχα Αναστασίου 8, 115 21 Αθήνα, Ελλάδα,Athens, Greece
