Conditional Probability Estimation
Abstract
This paper studies in particular an aspect of the estimation of conditional probability distributions by maximum likelihood that seems to have been overlooked in the literature on Bayesian networks: The information conveyed by the conditioning event should be included in the likelihood function as well.
Cite
Text
Cattaneo. "Conditional Probability Estimation." Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 2016.Markdown
[Cattaneo. "Conditional Probability Estimation." Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 2016.](https://mlanthology.org/pgm/2016/cattaneo2016pgm-conditional/)BibTeX
@inproceedings{cattaneo2016pgm-conditional,
title = {{Conditional Probability Estimation}},
author = {Cattaneo, Marco E. G. V.},
booktitle = {Proceedings of the Eighth International Conference on Probabilistic Graphical Models},
year = {2016},
pages = {86-97},
volume = {52},
url = {https://mlanthology.org/pgm/2016/cattaneo2016pgm-conditional/}
}