Dissimilarity between Markovian processes applied to industrial processes

In this paper we introduce a result which solves the problem of how to measure the similarity or discrepancy between two Markovian stochastic processes. The result is based on a consistent measure derived from a generalization of the Bayesian Information Criterion. We apply this concept to a practic...

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Main Authors: García, Jesús E., González-López, V. A., de Andrade, F. H. Kubo
Format: Conference Proceeding
Language:English
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Bayesian analysis
Markov processes
Similarity
Stochastic processes
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González-López, V. A.
de Andrade, F. H. Kubo
description In this paper we introduce a result which solves the problem of how to measure the similarity or discrepancy between two Markovian stochastic processes. The result is based on a consistent measure derived from a generalization of the Bayesian Information Criterion. We apply this concept to a practical problem with the aim of analyzing the similarity or discrepancy between two processes related to fuel alcohol production, which should be considered indistinguishable, according to their technical specifications.
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subjects Bayesian analysis
Markov processes
Similarity
Stochastic processes
title Dissimilarity between Markovian processes applied to industrial processes
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