Eric V. Strobl
About
Eric V. Strobl has authored 18 papers that have received a total of 191 indexed citations.
This includes 10 papers in Artificial Intelligence, 5 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), Machine Learning in Healthcare (4 papers) and Statistical Methods and Inference (3 papers). Eric V. Strobl is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Machine Learning in Healthcare (4 papers) and Statistical Methods and Inference (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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