Bob Carpenter
About
Bob Carpenter has authored 18 papers that have received a total of 4.6k indexed citations.
This includes 10 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 2 papers in Molecular Biology. The topics of these papers are Bayesian Modeling and Causal Inference (3 papers), Natural Language Processing Techniques (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Bob Carpenter is often cited by papers focused on Bayesian Modeling and Causal Inference (3 papers), Natural Language Processing Techniques (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers) and collaborates with scholars based in United States, United Kingdom and Italy. Bob Carpenter's co-authors include Peter Li, Matthew D. Hoffman, Ben Goodrich, Jiqiang Guo and Daniel C. Lee and has published in prestigious journals such as The Journal of Physical Chemistry B, Scientific Reports and Language.
In The Last Decade
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