Score Driven Time Varying Parameter Models Professors in Global

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Rukayya Ibrahim
Penn State Harrisburg United States of America
multivariate time series models
spatio-temporal data modeling
high dimensional time series models
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Bilge Atasoy
Delft University of Technology Netherlands
decision making models
stochastic dynamic vehicle routing models
choice-based optimization models
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Yuqi Gu
Columbia University United States of America
latent variable models
statistical machine learning
multivariate categorical data
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Siem Koopman
Vrije Universiteit Amsterdam Netherlands
score-driven time-varying parameter models
dynamic factor models
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Robert Gracie
University of Waterloo Canada
data driven models
parameter estimations
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Gabriela Czanner
University of Southampton United Kingdom
statistical machine learning models
spatial statistical models
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Robin Evans
University of Oxford United Kingdom
latent variable models
multivariate statistical models
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Renata Guizzardi - Silva Souza
University of Twente Netherlands
decision-making models
goal-oriented modeling
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Bryon Aragam
University of Chicago Booth School of Business United States of America
latent variable models
statistical machine learning
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Yali Amit
University of Chicago United States of America
stochastic models
statistical 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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Mateus Maia Marques
University of Glasgow United Kingdom
statistical learning models
spatio-temporal modelling
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Kemal Büyükkurt
Concordia University Canada
probabilistic choice models
probabilistic decision support systems
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Juxin Liu
University of Saskatchewan Canada
errors-in-variables modeling
temporal data analysis
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Renee Fry-mckibbin
Australian National University Australia
svar modelling
latent factor modelling
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William Dunsmuir
University of New South Wales Australia
spatio-temporal modelling
statistical time series analysis
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Purnamrita Sarkar
University of Texas at Austin United States of America
statistical machine learning
statistical models
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Wenpin Tang
Columbia University United States of America
probabilistic ranking models
continuous-time stochastic processes
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
statistical machine learning
shape-constrained prediction
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Nethal Jajo
University of Sydney Australia
stochastic system modelling
statistical machine learning
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Paolo Gorgi
Vrije Universiteit Amsterdam Netherlands
score-driven time series models
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