A Causal Dirichlet Mixture Model for Causal Inference from Observational Data.

Adi Lin|Jie Lu|Junyu Xuan|Fujin Zhu|Guangquan Zhang


Anthology ID:DBLP:journals/tist/LinLXZZ20
Year:2020
Venue:ACM Transactions on Intelligent Systems and Technology (TIST)
Pages:33:1-33:29
URL:https://doi.org/10.1145/3379500
DOI:https://doi.org/10.1145/3379500
DBLP:journals/tist/LinLXZZ20
BibTeX:
@article{lin-2020-causal, author = {Adi Lin and Jie Lu and Junyu Xuan and Fujin Zhu and Guangquan Zhang}, title = {{A Causal Dirichlet Mixture Model for Causal Inference from Observational Data}}, journal = {ACM Transactions on Intelligent Systems and Technology (TIST)}, volume = {11}, number = {3}, pages = {33:1--33:29}, year = {2020}, url = {https://doi.org/10.1145/3379500}, doi = {https://doi.org/10.1145/3379500} }