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Published in:
1992 | OriginalPaper | Chapter
Statistical analysis of Markov random fields using large deviation estimates
Author : F. Comets
Published in: Stochastic Models, Statistical Methods, and Algorithms in Image Analysis
Publisher: Springer New York
Included in: Professional Book Archive
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We discuss a probabilistic large deviation estimate and some applications to parametric estimation for Markov random fields. The major interest is that this estimate holds independently of phase transition. It yields general consistency results, covering for instance both maximum likehood estimator and pseudo-likelihood estimator for complete observations ; we also present other applications.