Bayesian Estimation of Latent Roots and Vectors with Special Reference to the Bivariate Normal Distribution
特征根与特征向量的贝叶斯估计:以二元正态分布为重点
This paper discusses from a Bayesian viewpoint some aspects of the estimation of latent roots and vectors of the covariance matrix of the bivariate normal distribution. The joint distribution of (i) the angle of the canonical transformation, and (ii) the ratio of the larger root to the total variance is considered in detail and illustrated by an example. Also discussed is the problem of making inferences about the larger roots, and several simple approximations to the…