Elias Bareinboim

64 papers and 1.3k indexed citations i.

Elias Bareinboim has authored 64 papers that have received a total of 1.3k indexed citations. This includes 46 papers in Artificial Intelligence, 33 papers in Statistics and Probability and 14 papers in Management Science and Operations Research. The topics of these papers are Bayesian Modeling and Causal Inference (33 papers), Advanced Causal Inference Techniques (28 papers) and Machine Learning and Algorithms (19 papers). Elias Bareinboim is often cited by papers focused on Bayesian Modeling and Causal Inference (33 papers), Advanced Causal Inference Techniques (28 papers) and Machine Learning and Algorithms (19 papers) and collaborates with scholars based in United States, Brazil and Hong Kong. Elias Bareinboim's co-authors include Judea Pearl, Jin Tian, Sanghack Lee, Junzhe Zhang and Andrew Forney and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Statistical Science