Parametric Modeling Professors in Global

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Michael Pyrcz
University of Texas at Austin United States of America
multivariate modeling
spatiotemporal modeling
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Hannah Christensen
University of Oxford United Kingdom
climate modeling
weather modeling
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Santiago Hernandez Uribe
ETH Zurich Switzerland
climate modeling
weather modeling
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Abby Hutson
University of Michigan United States of America
climate modeling
weather modeling
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Michael Howland
Massachusetts Institute of Technology United States of America
climate modeling
weather modeling
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Fani Boukouvala
Georgia Institute of Technology United States of America
process modeling
data-driven modeling
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Jagan Selvaraj
University of Glasgow United Kingdom
process modelling
data-driven modelling
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Jie Cai
Purdue University United States of America
data-driven modeling
modeling control
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Vanessa Mcnealis
University of Glasgow United Kingdom
semi-parametric estimation
hierarchical modelling
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Chunming Zhang
University of Wisconsin–Madison United States of America
semi-parametric estimation
non-parametric estimation
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Oz Sahin
University of New South Wales Australia
climate modelling
energy modelling
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Rahim Moineddin
University of Toronto Canada
spatio-temporal modeling
multilevel modeling
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Derek Creaser
Chalmers University of Technology Sweden
model reduction
microkinetic modeling
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Sophia Rabe-hesketh
University of California, Berkeley United States of America
hierarchical modeling
multilevel modeling
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Stéphane Goyette
University of Geneva Switzerland
climate modelling
environmental modelling
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Andrea Brookfield
University of Waterloo Canada
optimization modeling
hydrological modeling
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Brian Curless
University of Washington United States of America
human shape modeling
physics-based modeling
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Kan Wu
Texas A&M University United States of America
multi-scale multi-physics modeling
forward modeling
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Nikolai Kühne
Aalborg University Denmark
sequence modelling
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Cosma Shalizi
Carnegie Mellon University United States of America
nonparametric prediction
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Chris Bone
University of Victoria Canada
spatial simulation modelling
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