@inproceedings{8f47be21a58645abb06aa8b01bb190af,
title = "A Bayesian Approach for Estimating Causal Effects from Observational Data",
keywords = "DISCOVERY, INFERENCE, NETWORKS, 113 Computer and information sciences",
author = "Johan Pensar and Topi Talvitie and Antti Hyttinen and Mikko Koivisto",
year = "2020",
doi = "10.1609/aaai.v34i04.5988",
language = "English",
series = "AAAI Conference on Artificial Intelligence",
publisher = "The Association for the Advancement of Artificial Intelligence (AAAI)",
pages = "5395--5402",
booktitle = "THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE",
address = "United States",
note = "34th AAAI Conference on Artificial Intelligence / 32nd Innovative Applications of Artificial Intelligence Conference / 10th AAAI Symposium on Educational Advances in Artificial Intelligence ; Conference date: 07-02-2020 Through 12-02-2020",
}