%0 Conference Paper %1 pensar2020bayesian %A Pensar, Johan %A Talvitie, Topi %A Hyttinen, Antti %A Koivisto, Mikko %B Proceedings of the AAAI Conference on Artificial Intelligence %D 2020 %K flow cytometry bayesian causal bayes effect effects biology medicine citedby:scholar:count:2 citedby:scholar:timestamp:2021-2-11 %N 04 %P 5395--5402 %T A Bayesian approach for estimating causal effects from observational data %V 34

@inproceedings{pensar2020bayesian, added-at = {2021-02-12T00:52:58.000+0100}, author = {Pensar, Johan and Talvitie, Topi and Hyttinen, Antti and Koivisto, Mikko}, biburl = {https://www.bibsonomy.org/bibtex/29f26680bf7c5064c805adcb816690dc2/becker}, booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence}, interhash = {d372a9f2f4b6f3d51856f03bede47b43}, intrahash = {9f26680bf7c5064c805adcb816690dc2}, keywords = {flow cytometry bayesian causal bayes effect effects biology medicine citedby:scholar:count:2 citedby:scholar:timestamp:2021-2-11}, number = 04, pages = {5395--5402}, timestamp = {2021-02-12T00:52:58.000+0100}, title = {A Bayesian approach for estimating causal effects from observational data}, volume = 34, year = 2020 }