The Stein paradox on estimation and prediciton under multivariate normal distribution and spherically symmetric distribution is reviewed. In particular, estimation of a multivariate normal mean with known variance, the relationship of the esimation of mean vector and predictive density and parameter estimation of linear regression model are treated. Bayesian procedures play an important role as a remedy for the Stein paradox.
