Optimal filters for a hidden Markov random field model (Q1585806)
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scientific article; zbMATH DE number 1529779
| Language | Label | Description | Also known as |
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| English | Optimal filters for a hidden Markov random field model |
scientific article; zbMATH DE number 1529779 |
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Optimal filters for a hidden Markov random field model (English)
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14 November 2000
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Markov random fields models are a convenient technical tool for modeling and studying numerous phenomena that occur in real life, in particular where one is interested in processes exhibiting some type of spatio-temporal variability. This paper presents optimal filters for the states of a partially observed temporal Markov random field. The parameter estimation problem is also discussed.
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hidden Markov models
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spatio-temporal models
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optimal filtering
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measure change techniques
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