On An Applications of Bayes’ Rule in Probability Theory to Electrocatalytic Reaction Engineering
Nafeesa Rehman, Kishwer Naheed, Kamran Ayub, Qazi Mahmood Ul‐Hassan · 2017
Bayesian methods stem from the rule of linking prior probability and conditional probability (likelihood) to posterior probability by Bayes’ rule. The posterior probability is an 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 describes 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 dependable of a device testing the quality of an electrocatalyst, and the range of Tafel slopes exhibited by an electrocatalyst.