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Type: Artigo
Title: Dissimilarity between markovian processes applied to industrial processes
Author: Garcia, Jesus E.
Gonzalez-Lopez, V. A.
Kubo de Andrade, F. H.
Abstract: 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.
Subject: Markov
Processos de
Inferência bayesiana
Processo estocástico
Markov processes
Bayesian inference
Stochastic processes
Country: Estados Unidos
Editor: AIP Publishing
Rights: fechado
Identifier DOI: 10.1063/1.4992383
Date Issue: 2017
Appears in Collections:IMECC - Artigos e Outros Documentos

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