Applied Bayesian Inference Professors in Global

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Elina Robeva
University of British Columbia Canada
applied algebraic geometry
machine learning
causal inference
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Geert Mesters
Universitat Pompeu Fabra Spain
applied microeconometrics
applied macroeconomics
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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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Mohammad Anam Khan
University of Toronto Canada
statistical inference
biostatistical analysis
machine learning
causal inference
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Matias Cattaneo
Princeton University United States of America
machine learning
causal inference
applied economics
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David Taylor
Monash University Australia
bayesian inference
causal inference
applied economics
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Fan Yang
University College London United Kingdom
machine learning
causal inference
bayesian econometrics
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Shin Oblander
University of British Columbia Canada
causal inference
probabilistic machine learning
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Kristen Hunter
University of New South Wales Australia
causal inference
applied methodological statistics
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Hayden Schaeffer
University of California Los Angeles United States of America
applied probability
computational applied mathematics
applied harmonic analysis
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Wei Pan
Duke University Singapore
causal inference
advanced statistical modeling
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Lorenzo Lagos
Brown University United States of America
causal inference
applied quantitative methods
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Marie Skov Breum
University of Copenhagen Denmark
causal inference
semiparametric inference
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Daniel Malinsky
Columbia University United States of America
machine learning
causal inference
semiparametric inference
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Pasquale Schiraldi
London School of Economics United Kingdom
applied micro theory
applied econometrics
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Pasquale Schiraldi
London School of Economics and Political Science United Kingdom
applied micro theory
applied econometrics
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Uta Noppeney
Radboud University Netherlands
perceptual inference
probabilistic computations
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Laurence Frank
Utrecht University Netherlands
applied data science
machine learning
predictive modelling
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Ezra Goldstein
Georgia Institute of Technology United States of America
causal inference
applied econometrics
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Guido Imbens
Stanford University United States of America
causal inference
applied econometrics
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Karim Chalak
University of Manchester United Kingdom
causal inference
applied econometrics
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