Bayesian Time Series Analysis Professors in Global

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Guang Lin
Purdue University United States of America
stochastic multiscale modeling
statistical machine learning
big data analysis
predictive modeling
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Guang Lin
Purdue University United States of America
stochastic multiscale modeling
statistical machine learning
big data analysis
predictive modeling
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Serge Provost
Western University Canada
probabilistic models
multivariate statistical analysis
statistical inference
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Gareth Roberts
University of Warwick United Kingdom
bayesian statistics
statistical inference
stochastic simulation
stochastic processes
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Gareth Roberts
University of Warwick United Kingdom
bayesian statistics
statistical inference
stochastic simulation
stochastic processes
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Lin Fan
Northwestern University United States of America
statistical inference
stochastic simulation
stochastic processes
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Yuxin Chen
University of Pennsylvania United States of America
machine learning theory
statistical machine learning
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Christian Onof
Imperial College London United Kingdom
stochastic modeling
statistical machine learning
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David Bolin
University of Gothenburg Sweden
analysis of large data sets
spatio-temporal modeling
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Christian Frier
Aalborg University Denmark
stochastic modeling
probabilistic modeling
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Kaixin Liu
London School of Economics and Political Science United Kingdom
time series analysis
tensor time series
high-frequency time series
machine learning
high-dimensional time series
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Nasser Barjesteh
University of Toronto Canada
stochastic modeling
complex stochastic systems
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Tony Cai
University of Pennsylvania United States of America
large-scale inference
statistical machine learning
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Nethal Jajo
University of Sydney Australia
stochastic system modelling
statistical machine learning
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Roger Ghanem
University of Southern California United States of America
probabilistic multi-scale modeling
probabilistic modeling
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Roger Ghanem
University of Southern California United States of America
probabilistic multi-scale modeling
probabilistic modeling
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Alexandre Bouchard-côté
University of British Columbia Canada
bayesian methods
probabilistic modelling
statistical machine learning
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Sumanta Basu
Cornell University Netherlands
high-dimensional time series
statistical machine learning
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Adji Dieng
Princeton University United States of America
statistical machine learning
probabilistic modeling
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Bryon Aragam
University of Chicago Booth School of Business United States of America
statistical machine learning
probabilistic modeling
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Edward Cripps
University of Western Australia Australia
bayesian longitudinal analysis
spatio-temporal models
probabilistic modeling
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