A variational method for estimating the parameters of MRF from complete or incomplete data

DOI10.1214/aoap/1177005510zbMath0771.60091OpenAlexW2089969354MaRDI QIDQ1210486

Murilo P. Almeida, Basilis Gidas

Publication date: 4 October 1993

Published in: The Annals of Applied Probability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aoap/1177005510

zbMATH Keywords

asymptotic normalitynumerical experimentsvariational methodGibbs distributionsmaximum pseudo-likelihood method

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Estimation in multivariate analysis (62H12) Interacting random processes; statistical mechanics type models; percolation theory (60K35) Markov processes (60J99)

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