Some Applications of Bayes' Rule in Probability Theory to Electrocatalytic Reaction Engineering

Bayesian methods stem from the principle of linking prior probability and conditional probability (likelihood) to posterior probability via Bayes' rule. The posterior probability is an updated (improved) version of the prior probability of an event, through the likelihood of finding empirical e...

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Main Author: Thomas Z. Fahidy
Format: Article
Language:English
Published: Wiley 2011-01-01
Series:International Journal of Electrochemistry
Online Access:http://dx.doi.org/10.4061/2011/404605
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author Thomas Z. Fahidy
author_facet Thomas Z. Fahidy
author_sort Thomas Z. Fahidy
collection DOAJ
description Bayesian methods stem from the principle of linking prior probability and conditional probability (likelihood) to posterior probability via Bayes' rule. The posterior probability is an updated (improved) version of the prior probability of an event, through the likelihood of finding empirical evidence if the underlying assumptions (hypothesis) are valid. In the absence of a frequency distribution for the prior probability, Bayesian methods have been found more satisfactory than distribution-based techniques. The paper illustrates the utility of Bayes' rule in the analysis of electrocatalytic reactor performance by means of four numerical examples involving a catalytic oxygen cathode, hydrogen evolution on a synthetic metal, the reliability of a device testing the quality of an electrocatalyst, and the range of Tafel slopes exhibited by an electrocatalyst.
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spelling doaj-art-c007c50c60d44905ad97f102a240c2072025-02-03T06:13:44ZengWileyInternational Journal of Electrochemistry2090-35372011-01-01201110.4061/2011/404605404605Some Applications of Bayes' Rule in Probability Theory to Electrocatalytic Reaction EngineeringThomas Z. Fahidy0Chemical Engineering Department, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, CanadaBayesian methods stem from the principle of linking prior probability and conditional probability (likelihood) to posterior probability via Bayes' rule. The posterior probability is an updated (improved) version of the prior probability of an event, through the likelihood of finding empirical evidence if the underlying assumptions (hypothesis) are valid. In the absence of a frequency distribution for the prior probability, Bayesian methods have been found more satisfactory than distribution-based techniques. The paper illustrates the utility of Bayes' rule in the analysis of electrocatalytic reactor performance by means of four numerical examples involving a catalytic oxygen cathode, hydrogen evolution on a synthetic metal, the reliability of a device testing the quality of an electrocatalyst, and the range of Tafel slopes exhibited by an electrocatalyst.http://dx.doi.org/10.4061/2011/404605
spellingShingle Thomas Z. Fahidy
Some Applications of Bayes' Rule in Probability Theory to Electrocatalytic Reaction Engineering
International Journal of Electrochemistry
title Some Applications of Bayes' Rule in Probability Theory to Electrocatalytic Reaction Engineering
title_full Some Applications of Bayes' Rule in Probability Theory to Electrocatalytic Reaction Engineering
title_fullStr Some Applications of Bayes' Rule in Probability Theory to Electrocatalytic Reaction Engineering
title_full_unstemmed Some Applications of Bayes' Rule in Probability Theory to Electrocatalytic Reaction Engineering
title_short Some Applications of Bayes' Rule in Probability Theory to Electrocatalytic Reaction Engineering
title_sort some applications of bayes rule in probability theory to electrocatalytic reaction engineering
url http://dx.doi.org/10.4061/2011/404605
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