Eric V. Strobl
About
Eric V. Strobl has authored 19 papers that have received a total of 185 indexed citations.
This includes 9 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 3 papers in Economics and Econometrics. The topics of these papers are Bayesian Modeling and Causal Inference (6 papers), Statistical Methods and Inference (4 papers) and Machine Learning in Healthcare (3 papers). Eric V. Strobl is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Statistical Methods and Inference (4 papers) and Machine Learning in Healthcare (3 papers) and collaborates with scholars based in United States, Switzerland and The Netherlands. Eric V. Strobl's co-authors include Shyam Visweswaran, Josh Woolley, Peter Spirtes, Katherine P. Rankin and Bruce L. Miller and has published in prestigious journals such as Biological Psychiatry, World Development and Machine Learning
In The Last Decade
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