For the Bayesian linear regression, likelihood function is Gaussian, conjugate prior is Gaussian, we can get the posterior is also Gaussian.
However, for Bayesian logistic regression, likelihood is logistic sigmoid function, since evaluation of posterior distribution requires normalization of the product of prior and likelihood, it is intractable.
原文：http://www.cnblogs.com/wintor12/p/3836967.html