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Journal articles

A Random Field Model and its Application in Industrial Production

Abstract : We propose a new tool of decision support in front of a globally unknown phenomenon which is modeled by a random field representing simultaneously our knowledge and our lack of information. This tool is the distribution of a random variable called failure risk probability. Before giving the precise definition of this object, we describe an industrial context in which the decision problem occurs and we discuss Bayesian random field model constructions.
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Contributor : Emmanuel Lesigne Connect in order to contact the contributor
Submitted on : Friday, November 6, 2015 - 4:37:18 PM
Last modification on : Tuesday, January 11, 2022 - 5:56:09 PM
Long-term archiving on: : Friday, April 28, 2017 - 4:55:13 AM


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  • HAL Id : hal-00914192, version 3
  • ARXIV : 1312.1653



Julie Oger, Emmanuel Lesigne, Philippe Leduc. A Random Field Model and its Application in Industrial Production. Journal de la Société Française de Stastistique, 2015, 156 (3). ⟨hal-00914192v3⟩



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