We consider novel methods for the computation of model selection criteria in missing-data problems based on the output of the EM algorithm. The methodology is very general and can be applied to ...

Gilles Celeux, , Florence Forbes, Abdallah Mkhadri, A Component-Wise EM Algorithm for Mixtures, Journal of Computational and Graphical Statistics, Vol. 10, No. 4 (Dec ...

This example estimates the normal SSM of the mink-muskrat data using the EM algorithm. The mink-muskrat series are detrended. Refer to Harvey (1989) for details of this data set. Since this EM ...

With advances in high-throughput single-nucleotide polymorphism (SNP) genotyping, the amount of genotype data available for genetic studies is steadily increasing, and with it comes new abilities ...