Bayesian inference is a form of 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
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