Maximum Likelihood Estimation for Linear Gaussian Covariance Models
Maximum Likelihood Estimation for Linear Gaussian Covariance Models
Summary We study parameter estimation in linear Gaussian covariance models, which are p-dimensional Gaussian models with linear constraints on the covariance matrix. Maximum likelihood estimation for this class of models leads to a non-convex optimization problem which typically has many local maxima. Using recent results on the asymptotic distribution of …