On the expectation-maximization algorithm for Rice-Rayleigh mixtures with application to noise parameter estimation in magnitude MR datasets

DOI10.1007/s13571-012-0055-yzbMath1294.62140OpenAlexW1975734795WikidataQ57709225 ScholiaQ57709225MaRDI QIDQ2439272

Ranjan Maitra

Publication date: 14 March 2014

Published in: Sankhyā. Series B (Search for Journal in Brave)

Full work available at URL: https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1072&context=stat_las_pubs

zbMATH Keywords

waveletsmixture modelintegrated completed likelihoodBayes information criterionlocal skewnessRayleigh densityRice densityrobust noise estimation

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Image analysis in multivariate analysis (62H35)

Related Items

Estimating a mixing distribution on the sphere using predictive recursion

Uses Software

• LBFGS-B
• MixSim
• AS 136
• BrainWeb

Cites Work

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