Bayesian MISE Convergence Rates of Mixture Models Based on the Polya Urn Model: Asymptotic Comparisons and Choice of Prior ParametersReportar como inadecuado



 Bayesian MISE Convergence Rates of Mixture Models Based on the Polya Urn Model: Asymptotic Comparisons and Choice of Prior Parameters


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Mixture models are well-known for their versatility, and the Bayesian paradigm is a suitable platform for mixture analysis, particularly when the number of components is unknown. Bhattacharya (2008) introduced a mixture model based on the Dirichlet process, where an upper bound on the unknown number of components is to be specified. Here we conside

Autor: Sabyasachi Mukhopadhyay; Sourabh Bhattacharya

Fuente: https://archive.org/







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