The idea is to reduce the cost of calculating the EM algorithm by using a haplotype-grouping preprocess exploiting the symmetrical and inclusive relationships of haplotypes based on the Hardy ...

Maximum likelihood estimation in finite mixture distributions is typically approached as an incomplete data problem to allow application of the expectation-maximization (EM) algorithm. In its general ...

Zbigniew Szkutnik, Doubly Smoothed EM Algorithm for Statistical Inverse Problems, Journal of the American Statistical Association, Vol. 98, No. 461 (Mar., 2003), pp. 178-190 ...

This paper shows that the Expectation-Maximization (EM) algorithm for regime-switching dynamic factor models provides satisfactory performance relative to other estimation methods and delivers a good ...