Limited Dependent Variable Models Professors in Global

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Amin Mousavi
University of Saskatchewan Canada
latent variable modeling
statistical modeling
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Doug James
Stanford University United States of America
reduced-order physics models
physically based modeling
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Ralf Zimmermann
University of Southern Denmark Denmark
reduced order modelling
mathematical modelling
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Peter Mccullagh
University of Chicago United States of America
structured covariance models
spatial models
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David Duvenaud
University of Toronto Canada
deep probabilistic models
generative models
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Christian Thilker
Technical University of Denmark Denmark
stochastic disturbance models
model-based control
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Bilge Atasoy
Delft University of Technology Netherlands
choice-based optimization models
decision making models
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Joshua Chan
Purdue University United States of America
stochastic volatility models
high-dimensional time-series models
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Mikael Hedlind
KTH Royal Institute of Technology Sweden
data models
model driven engineering
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Tilda Herrgårdh
Linköping University Sweden
mechanistic models
mathematical modelling
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Kai Brüssau
University of Hamburg Germany
regression models
large language models
classification models
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Enno Mammen
Heidelberg University Germany
high-dimensional models
additive models
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Daniel Truhn
RWTH Aachen University Germany
large language models
generative models
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Jiawei Zhang
University of Wisconsin–Madison United States of America
large language models
generative models
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Andi Han
University of Sydney Australia
large language models
generative models
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Syed Haider
Columbia University United States of America
large language models
predictive modeling
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Yuqi Gu
Columbia University United States of America
latent variable models
deep generative models
probabilistic graphical models
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Surajit Ray
University of Glasgow United Kingdom
statistical modeling
mixture models
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Da Zhao
University of Melbourne Australia
statistical modeling
predictive modeling
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Polina Golland
Massachusetts Institute of Technology United States of America
statistical modeling
predictive modeling
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Jing Zhang
Australian National University Australia
weakly supervised learning
generative models
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