An informative prior expresses specific, definite information about a variable. An example is a prior distribution for the temperature at noon … 展开

An uninformative, flat, or diffuse prior expresses vague or general information about a variable. The term "uninformative prior" is somewhat of a misnomer. Such a prior might also be called a not very informative prior, or an objective prior, i.e. one that is not … 展开

• Base rate
• Base rate fallacy
• Bayesian epistemology
• Strong prior 展开

A weakly informative prior expresses partial information about a variable, steering the analysis toward solutions that align with existing knowledge without overly constraining the … 展开

Let events $${\displaystyle A_{1},A_{2},\ldots ,A_{n}}$$ be mutually exclusive and exhaustive. If Bayes' theorem is written as 展开

While in Bayesian statistics the prior probability is used to represent initial beliefs about an uncertain parameter, in statistical mechanics the … 展开

1. ^ Robert, Christian (1994). "From Prior Information to Prior Distributions". The Bayesian Choice. New York: Springer. pp. 89–136. ISBN 0-387-94296-3.
2. ^ Chaloner, Kathryn (1996). "Elicitation of Prior Distributions". In Berry, Donald A.; Stangl, Dalene (eds.). … 展开