Jointly Distributed Mean and Mixing Coefficients for Bayesian Source Separation using MCMC and ICM

DOI10.1515/MCMA.2002.8.4.395zbMath1013.65007OpenAlexW2003210332MaRDI QIDQ4796476

Daniel B. Rowe

Publication date: 5 March 2003

Published in: Monte Carlo Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/mcma.2002.8.4.395

zbMATH Keywords

algorithmsMarkov chain Monte Carlo methodGibbs samplingmixing coefficientsmarginal meanBayesian source separationconjugate normal distributionsiterated conditional modes algorithmjointly distributed meanmaximum a posterior estimates

Mathematics Subject Classification ID

Point estimation (62F10) Monte Carlo methods (65C05) Numerical analysis or methods applied to Markov chains (65C40)

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