The Riesz probability distribution: Generation and EM algorithm

DOI10.1080/03610918.2018.1513139OpenAlexW2907777321WikidataQ128614325 ScholiaQ128614325MaRDI QIDQ5088099

Raoudha Zine, Mariem Tounsi, Sameh Kessentini

Publication date: 4 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1513139

zbMATH Keywords

EM algorithmmixture modelsWishart probability distributioninverse Riesz probability distributionRiesz probability distribution

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

New approach on the study of operator matrix ⋮ The extended matrix-variate beta probability distribution on symmetric matrices ⋮ Maximum likelihood and maximum a posteriori estimators for the Riesz probability distribution ⋮ On the Gaussian representation of the Riesz probability distribution on symmetric matrices

Cites Work

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• XX.—On the Theory of Statistical Regression
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• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
• A new look at the statistical model identification

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