2 problems

Consider model-based clustering by maximum-likelihood estimation in mixture models, with $D_m$ the number of parameters in model $m$, $p_2(m)$ the corresponding empirical penalty q…

Consider variable-selection problems with estimator collections and minimal-penalty algorithms, including settings beyond orthonormal variable selection and change-point detection.…