This classification algorithm predicts the possibility of a class relation pattern when the prior probability and conditional probability are known, which is based on Bayesian theory
of probability statistics.
A modest knowledge of probability and statistics is required, they say, in particular readers should know the basic concepts of maximum likelihood estimation and Bayesian theory
It discusses this analysis using two-dimensional semantics and the Bayesian theory
The section 'Judgement and Decision-Making' highlights the disagreements among the contributors on whether the proper framework for human cognition should be Bayesian theory
, heuristics, or naive statistics, and it considers the assessment of the normative implications of these alternatives.
Clark includes a description of Bayesian theory
for comparison and contrast and a number of exercises readers can use to uncover the nature of the models using both classic and new data sets.
Interestingly, Chapline  noted that neither Bayesian theory
nor Dempster-Shafer could offer insight on how to minimize overall energy usage in the network.
Essentially, Bayesian theory
tells us how to express and manipulate probabilities.
Models of model uncertainty that have the decisionmakers entertain multiple models require modifying the Bayesian theory