Hierarchical Geographically Weighted Regression Professors in Global

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Jonny Huck
University of Manchester United Kingdom
geographical modeling
geographical simulation
computational geography
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Danica Sutherland
University of British Columbia Canada
statistical machine learning
theoretical machine learning
machine learning
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Yuying Xie
Michigan State University United States of America
statistical machine learning
spatial data analysis
high dimensional data analysis
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Yuying Xie
Michigan State University United States of America
statistical machine learning
spatial data analysis
high dimensional data analysis
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
statistical machine learning
distribution regression
shape-constrained prediction
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Guang Lin
Purdue University United States of America
statistical machine learning
stochastic multiscale modeling
predictive modeling
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Guang Lin
Purdue University United States of America
statistical machine learning
stochastic multiscale modeling
predictive modeling
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Zhenlong Li
Pennsylvania State University United States of America
geospatial big data analytics
geospatial big data
spatial modeling
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Yuqi Gu
Columbia University United States of America
statistical machine learning
multivariate categorical data
probabilistic graphical models
deep generative models
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Sabine Loos
University of Michigan United States of America
geospatial modeling
geostatistics
predictive modeling
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Ross Purves
University of Zurich Switzerland
spatial data analysis
machine learning
geocomputation
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Anthony Robinson
Pennsylvania State University United States of America
geospatial big data analytics
geovisual analytics
spatial modeling
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Michelle Zeiders
Pennsylvania State University United States of America
geospatial big data analytics
spatial analysis
spatial modeling
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Magnus Röding
Chalmers University of Technology Sweden
stochastic modeling
machine learning
statistical modeling
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Sijing Zhou
University of Melbourne Australia
large-scale data mining
machine learning
statistical modeling
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Yang Feng
New York University United States of America
high-dimensional data analysis
machine learning
statistical modeling
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David Matteson
Cornell University Netherlands
high-dimensional statistics
machine learning
spatial analysis
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Qiang Liu
University of Texas at Austin United States of America
probabilistic graphical models
machine learning
generative modeling
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Ziqing Ho
London School of Economics United Kingdom
high-dimensional statistics
machine learning
non-parametric regression
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Da Zhao
University of Melbourne Australia
machine learning
predictive modeling
statistical modeling
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
generative modeling
probabilistic machine learning
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