Longitudinal Data Professors in Global

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Haixu Wang
University of Calgary Canada
longitudinal data
spatial data
spatial-temporal data
high-dimensional complex data analysis
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Tereza Neocleous
University of Glasgow United Kingdom
longitudinal data
multivariate data analysis
hierarchical data
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Juxin Liu
University of Saskatchewan Canada
longitudinal data analysis
spatial data analysis
temporal data analysis
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Georges Monette
York University Canada
longitudinal models
data analysis
statistical models
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Paul Mcnicholas
McMaster University Canada
multivariate longitudinal data
mixed-type data
higher-order data
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Quan Vu
Australian National University Australia
spatial data
spatio-temporal data
clustered data
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V.s. Subrahmanian
Northwestern University United States of America
relational data
geospatial data
image data
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Yuying Xie
Michigan State University United States of America
spatial data analysis
high dimensional data analysis
statistical machine learning
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Jürgen Bernard
University of Zurich Switzerland
multivariate data
exploratory data analysis
time series data
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Dianne Cook
Monash University Australia
high-dimensional data
data mining
exploratory data analysis
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Eunus Ali
Monash University Australia
spatio-temporal data
multimodal high-dimensional data
data analytics
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Kerry Taylor
Australian National University Australia
spatial data systems
linked data
data mining
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Hina Shaheen
University of Manitoba Canada
data analysis
multivariate high dimensional data analysis
statistical machine learning
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Shirley Mills
Carleton University Canada
high dimensional data
data mining
statistical machine learning
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Yiyu Yao
University of Regina Canada
data analysis
data mining
data analytics
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Berwin Turlach
University of Western Australia Australia
big data
data mining
statistical learning
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Xuewen Lu
University of Calgary Canada
high-dimensional data analysis
big data analysis
data mining
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Hua Shen
University of Calgary Canada
lifetime data analysis
high-dimensional data analysis
data heterogeneity
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Yuejie Chi
Yale University United States of America
data-driven decision making
high-dimensional statistics
statistical learning
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Lindsey Heagy
University of British Columbia Canada
geophysical data
electromagnetic data
electrical data
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Tony Cai
University of Pennsylvania United States of America
high-dimensional statistics
large-scale inference
statistical machine learning
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