A Linear Approximation Method for Probabilistic Inference
Abstract
An approximation method is presented for probabilistic inference with continuous random variables. These problems can arise in many practical problems, in particular where there are "second order" probabilities. The approximation, based on the Gaussian influence diagram, iterates over linear approximations to the inference problem.
Cite
Text
Shachter. "A Linear Approximation Method for Probabilistic Inference." Conference on Uncertainty in Artificial Intelligence, 1988.Markdown
[Shachter. "A Linear Approximation Method for Probabilistic Inference." Conference on Uncertainty in Artificial Intelligence, 1988.](https://mlanthology.org/uai/1988/shachter1988uai-linear/)BibTeX
@inproceedings{shachter1988uai-linear,
title = {{A Linear Approximation Method for Probabilistic Inference}},
author = {Shachter, Ross D.},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1988},
url = {https://mlanthology.org/uai/1988/shachter1988uai-linear/}
}