Bayesian Inference Professors in Global

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Umberto Picchini
Chalmers University of Technology Sweden
bayesian computational methods
statistical inference
approximate bayesian computation
stochastic modelling
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Umberto Picchini
University of Gothenburg Sweden
bayesian computational methods
statistical inference
approximate bayesian computation
stochastic modelling
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Debdeep Pati
University of Wisconsin–Madison United States of America
bayesian methods
bayesian graphical models
approximate bayesian methods
efficient bayesian computation
machine learning
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Yixin Wang
University of Michigan United States of America
bayesian statistics
causal inference
machine learning
probabilistic generative modeling
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Mohammad Anam Khan
University of Toronto Canada
statistical inference
causal inference
machine learning
biostatistical analysis
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Dae Ham
University of Michigan United States of America
randomization inference
causal inference
adaptive sequential inference
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Bin Yu
University of California, Berkeley United States of America
statistical inference
causal inference
statistical machine learning
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Morgane Austern
Harvard University United States of America
statistical inference
machine learning theory
probability theory
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Victor Panaretos
École Polytechnique Fédérale de Lausanne Switzerland
statistical inference
probability theory
regression modeling
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Guang Cheng
Purdue University United States of America
machine learning
high dimensional statistical inferences
semi-nonparametric inferences
modern bayesian bootstrap methods
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Florentina Bunea
Cornell University Netherlands
high-dimensional statistical inference
statistical machine learning
estimation theory
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Vinayak Rao
Purdue University United States of America
bayesian computational methods
statistical inference
machine learning
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Michael Zhu
Purdue University United States of America
bayesian computational methods
statistical inference
machine learning
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Gareth Roberts
University of Warwick United Kingdom
bayesian statistics
statistical inference
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Khader Khadraoui
Laval University Canada
bayesian statistics
statistical inference
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Thomas Sellke
Purdue University United States of America
bayesian statistics
statistical inference
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Gareth Roberts
University of Warwick United Kingdom
bayesian statistics
statistical inference
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Bradley Efron
Stanford University United States of America
bayesian statistics
statistical inference
machine learning
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Dabao Zhang
Purdue University United States of America
bayesian
statistical inference
machine learning
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Pavithra Manoj
London School of Economics and Political Science United Kingdom
bayesian meta-analysis
statistical inference
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John Lau
University of Western Australia Australia
bayesian statistics
bayesian nonparametric statistics
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