Hierarchical Geographically Weighted Regression Professors in Global

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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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Hina Shaheen
University of Manitoba Canada
multivariate high dimensional data analysis
statistical machine learning
machine learning
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Jonny Huck
University of Manchester United Kingdom
geographical modeling
geographical simulation
computational geography
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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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Tony Cai
University of Pennsylvania United States of America
statistical machine learning
large-scale inference
high-dimensional statistics
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Tom Horrocks
University of Western Australia Australia
geoscientific data mining
geostatistics
machine learning
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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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Tapan Mukerji
Stanford University United States of America
stochastic geomodeling
geostatistics
machine learning
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Ross Purves
University of Zurich Switzerland
spatial data analysis
machine learning
geocomputation
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Sabine Loos
University of Michigan United States of America
geospatial modeling
geostatistics
predictive modeling
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Nethal Jajo
University of Sydney Australia
statistical machine learning
semi-parametric regression
non-parametric regression
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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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Anthony Robinson
Pennsylvania State University United States of America
geospatial big data analytics
geovisual analytics
spatial modeling
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Michael Pyrcz
University of Texas at Austin United States of America
geostatistics
machine learning
multivariate modeling
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Sijing Zhou
University of Melbourne Australia
large-scale data mining
machine learning
statistical modeling
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Leonidas Guibas
Stanford University United States of America
geometric topological data analysis
geometric modeling
machine learning
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Magnus Röding
Chalmers University of Technology Sweden
stochastic modeling
machine learning
statistical modeling
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David Matteson
Cornell University Netherlands
high-dimensional statistics
machine learning
spatial analysis
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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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Houman Owhadi
California Institute of Technology United States of America
multi-scale stochastic analysis
machine learning
gaussian process regression
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Kun Liang
University of Waterloo Canada
large-scale inference
high-dimensional statistics
machine learning
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