Conditional Probability Estimation

Marco E. G. V. Cattaneo
Proceedings of the Eighth International Conference on Probabilistic Graphical Models, PMLR 52:86-97, 2016.

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 this Paper

BibTeX
@InProceedings{pmlr-v52-cattaneo16, title = {Conditional Probability Estimation}, author = {Cattaneo, Marco E. G. V.}, booktitle = {Proceedings of the Eighth International Conference on Probabilistic Graphical Models}, pages = {86--97}, year = {2016}, editor = {Antonucci, Alessandro and Corani, Giorgio and Campos}, Cassio Polpo}, volume = {52}, series = {Proceedings of Machine Learning Research}, address = {Lugano, Switzerland}, month = {06--09 Sep}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/v52/cattaneo16.pdf}, url = {https://proceedings.mlr.press/v52/cattaneo16.html}, 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.} }
Endnote
%0 Conference Paper %T Conditional Probability Estimation %A Marco E. G. V. Cattaneo %B Proceedings of the Eighth International Conference on Probabilistic Graphical Models %C Proceedings of Machine Learning Research %D 2016 %E Alessandro Antonucci %E Giorgio Corani %E Cassio Polpo Campos} %F pmlr-v52-cattaneo16 %I PMLR %P 86--97 %U https://proceedings.mlr.press/v52/cattaneo16.html %V 52 %X 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.
RIS
TY - CPAPER TI - Conditional Probability Estimation AU - Marco E. G. V. Cattaneo BT - Proceedings of the Eighth International Conference on Probabilistic Graphical Models DA - 2016/08/15 ED - Alessandro Antonucci ED - Giorgio Corani ED - Cassio Polpo Campos} ID - pmlr-v52-cattaneo16 PB - PMLR DP - Proceedings of Machine Learning Research VL - 52 SP - 86 EP - 97 L1 - http://proceedings.mlr.press/v52/cattaneo16.pdf UR - https://proceedings.mlr.press/v52/cattaneo16.html AB - 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. ER -
APA
Cattaneo, M.E.G.V.. (2016). Conditional Probability Estimation. Proceedings of the Eighth International Conference on Probabilistic Graphical Models, in Proceedings of Machine Learning Research 52:86-97 Available from https://proceedings.mlr.press/v52/cattaneo16.html.

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