A constrained EM algorithm for univariate normal mixtures

Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior

Journal of VLSI Signal Processing Systems

Maximum likelihood computation based on the Fisher scoring and Gauss-Newton quadratic approximations

Computational Statistics & Data Analysis

A likelihood ratio test of a homoscedastic normal mixture against a heteroscedastic normal mixture

Statistics and Computing

hsmm - An R package for analyzing hidden semi-Markov models

Computational Statistics & Data Analysis

A computational strategy for doubly smoothed MLE exemplified in the normal mixture model

Computational Statistics & Data Analysis

Robust fitting of mixture regression models

Computational Statistics & Data Analysis

Root selection in normal mixture models

Computational Statistics & Data Analysis

Robust mixture regression using the t-distribution

Computational Statistics & Data Analysis