Ben Goodrich
About
Ben Goodrich has authored 21 papers that have received a total of 4.8k indexed citations.
This includes 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Statistics and Probability. The topics of these papers are Statistical Methods and Bayesian Inference (4 papers), Bayesian Modeling and Causal Inference (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Ben Goodrich is often cited by papers focused on Statistical Methods and Bayesian Inference (4 papers), Bayesian Modeling and Causal Inference (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers) and collaborates with scholars based in United States, Canada and Australia. Ben Goodrich's co-authors include Gary Clyde Hufbauer, Jonah Gabry, Andrew Gelman, Michael H. Andreae and Peter Li and has published in prestigious journals such as Anesthesia & Analgesia, Journal of Statistical Software and International Organization
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