Bayesian Data Assimilation Professors in Global

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Martin Kada
Technical University of Berlin Germany
data analysis
spatial data modelling
data processing
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Chuanhai Liu
Purdue University United States of America
data analysis
statistical inference
statistical modeling
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Søren Skjernaa
Aalborg University Denmark
data analysis
statistical modeling
information extraction
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Mohamed Aburweis
Texas A&M University United States of America
statistical machine learning
statistical modeling
big data analytics
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Houman Owhadi
California Institute of Technology United States of America
machine learning
gaussian process regression
multi-scale stochastic analysis
statistical numerical approximation
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Houman Owhadi
California Institute of Technology United States of America
machine learning
gaussian process regression
multi-scale stochastic analysis
statistical numerical approximation
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Lijie Liu
Technical University of Denmark Denmark
data processing
data analytics
information extraction
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Hippolyte Bourel
University of Copenhagen Denmark
data processing
data analytics
information extraction
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Chaodi Dai
University of Copenhagen Denmark
data processing
data analytics
information extraction
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Lev Levitskiy
University of Southern Denmark Denmark
data processing
data analytics
information extraction
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Magnus Röding
Chalmers University of Technology Sweden
machine learning
statistical modeling
image analysis
stochastic modeling
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Marek Adamus
University of Copenhagen Denmark
data analysis
data extraction
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Alfred Hero
University of Michigan United States of America
data analysis
statistical machine learning
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Hina Shaheen
University of Manitoba Canada
bayesian inference
machine learning
data analysis
statistical machine learning
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Saikat Chatterjee
Royal Institute of Technology Sweden
statistical machine learning
data inference
deep learning
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Hau-tieng Wu
Duke University Singapore
data analysis
big datasets
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Yuxin Chen
University of Pennsylvania United States of America
statistical machine learning
machine learning theory
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Guang Lin
Purdue University United States of America
statistical machine learning
big data analysis
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Guang Lin
Purdue University United States of America
statistical machine learning
big data analysis
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Xin Tong
University of Southern California United States of America
asymmetric statistical learning
sampling bias
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Mi Park
University of British Columbia Canada
statistical machine learning
theoretical machine learning
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