Bayesian Diagnostics Professors in Global

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Sharmistha Guha
Texas A&M University United States of America
bayesian causal inference
bayesian high dimensional regression
bayesian object-oriented regression
bayesian nonparametric mixture models
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Veronika Rockova
University of Chicago United States of America
bayesian statistics
predictive inference
machine learning
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Kd Dang
University of Western Australia Australia
bayesian inference
bayesian statistics
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Sébastien Buczinski
Université de Montréal Canada
bayesian statistics
diagnostic imaging
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Xinran Li
University of Chicago United States of America
bayesian inference
randomization-based inference
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Ricardo Silva
University College London United Kingdom
bayesian inference
machine learning
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Edson Utazi
University of Southampton United Kingdom
bayesian inference
bayesian computation
machine learning
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Tingting Zhu
University of Oxford United Kingdom
bayesian inference
machine learning
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Mihaela Paun
University of Southampton United Kingdom
bayesian inference
machine learning
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Ben Moews
University of Edinburgh United Kingdom
bayesian inference
machine learning
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Ronojoy Adhikari
University of Cambridge United Kingdom
bayesian inference
machine learning
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Hong Ge
University of Cambridge United Kingdom
bayesian inference
machine learning
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Joel Dyer
University of Oxford United Kingdom
bayesian inference
machine learning
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James Martin
Imperial College London United Kingdom
bayesian inference
machine learning
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Michael Gutmann
University of Edinburgh United Kingdom
bayesian inference
machine learning
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Abhishek Chakrabortty
Texas A&M University United States of America
bayesian inference
machine learning
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Patricia Ning
Texas A&M University United States of America
bayesian inference
machine learning
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Navish Kumar
University of Basel Switzerland
bayesian inference
machine learning
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Samir Bhatt
University of Copenhagen Denmark
bayesian inference
machine learning
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Melih Kandemir
University of Southern Denmark Denmark
bayesian inference
machine learning
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Lars Hammarstrand
Chalmers University of Technology Sweden
bayesian inference
machine learning
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