Statistical inference in which probabilities are interpreted not as frequencies or proportions, but rather as degrees of belief. A prior distribution for a certain random variable is assumed; then this is modified, in the light of experimentation, using Bayes' theorem. Pierre Laplace applied Bayesian inference to estimate the mass of Saturn and in a variety of other problems.
Related category PROBABILITY AND STATISTICS
Home • About • Copyright © The Worlds of David Darling • Encyclopedia of Alternative Energy • Contact