@InProceedings{pearson_et_al:LIPIcs.AofA.2020.23,
author = {Pearson, Antony and Lladser, Manuel E.},
title = {{Hidden Independence in Unstructured Probabilistic Models}},
booktitle = {31st International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2020)},
pages = {23:1--23:13},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-147-4},
ISSN = {1868-8969},
year = {2020},
volume = {159},
editor = {Drmota, Michael and Heuberger, Clemens},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.AofA.2020.23},
URN = {urn:nbn:de:0030-drops-120538},
doi = {10.4230/LIPIcs.AofA.2020.23},
annote = {Keywords: Bayesian networks, contamination, latent weights, mixture models, independence, symbolic data}
}