The knee-jerk mapping
Probability
2007-06-13 v1 Statistics Theory
Statistics Theory
Abstract
We claim to give the definitive theory of what we call the `knee-jerk mapping', which is the basis for a class of optimization algorithms introduced by Baum, and promoted by Dempster, Laird, and Rubin under the name `EM algorithm'.
Cite
@article{arxiv.math/0606068,
title = {The knee-jerk mapping},
author = {Peter G. Doyle and Jim Reeds},
journal= {arXiv preprint arXiv:math/0606068},
year = {2007}
}
Comments
Version dated 5 October 1998. Freely redistributable (GNU FDL)