Emily B. Fox
About
Emily B. Fox has authored 65 papers that have received a total of 1.4k indexed citations.
This includes 37 papers in Artificial Intelligence, 21 papers in Statistics and Probability and 7 papers in Signal Processing. The topics of these papers are Bayesian Methods and Mixture Models (26 papers), Gaussian Processes and Bayesian Inference (15 papers) and Statistical Methods and Inference (11 papers). Emily B. Fox is often cited by papers focused on Bayesian Methods and Mixture Models (26 papers), Gaussian Processes and Bayesian Inference (15 papers) and Statistical Methods and Inference (11 papers) and collaborates with scholars based in United States, United Kingdom and China. Emily B. Fox's co-authors include Erik B. Sudderth, Nicholas J. Foti, Michael I. Jordan, Alan S. Willsky and Brian Litt and has published in prestigious journals such as Circulation, Neurology and IEEE Transactions on Pattern Analysis and Machine Intelligence
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