Babak Shahbaba
About
Babak Shahbaba has authored 50 papers that have received a total of 1.6k indexed citations.
This includes 21 papers in Artificial Intelligence, 14 papers in Statistics and Probability and 12 papers in Molecular Biology. The topics of these papers are Gaussian Processes and Bayesian Inference (11 papers), Bayesian Methods and Mixture Models (9 papers) and Markov Chains and Monte Carlo Methods (9 papers). Babak Shahbaba is often cited by papers focused on Gaussian Processes and Bayesian Inference (11 papers), Bayesian Methods and Mixture Models (9 papers) and Markov Chains and Monte Carlo Methods (9 papers) and collaborates with scholars based in United States, Canada and Cyprus. Babak Shahbaba's co-authors include Shiwei Lan, Hernando Ombao, Norbert J. Fortin, Andrew J. Holbrook and Steven C. Cramer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of the American Statistical Association.
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