Maximum-entropy Conjugate Priors of Variance under Normal Distribution

摘要

Confirming the priors in reason is the key of the Bayesian statistic. In this paper,according to two different kinds of prior information, the maximum-entropy conjugate priors of the variance based on the known expectation of the normal distribution are discussed. And the prior is used in the BDLM based on the unknown observation variance.