Dictionary of Biological Psychology
Bayesian statistics are named after the Reverend Thomas Bayes (1702–1761), a Nonconformist minister who, following his ordination, worked first in London then later in Kent. Bayes’ theorem has become a valuable statistical tool.
Its importance is in its ability to make probabilistic inferences about the incidence of mutually exclusive, non-repeatable events. The theorem has various expressions, each involving conditional probabilities, written in the form P(A\B), the probability (P) of A given B. It can be expressed, for example, as:
in which P(A) and P(B) are the unconditional, a priori probabilities of A and B. Bayesian statistics have been widely used in studies concerned with DECISION-MAKING.
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