Sequential Parameter Estimation Professors in Global

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Elias Aboutanios
University of New South Wales Australia
parameter estimation
statistical multidimensional signal processing
signal processing
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Ansgar Steland
RWTH Aachen University Germany
sequential analysis
stochastic processes
statistical learning
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
prediction error estimation
parameter tuning
prediction modeling
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Sahand Negahban
Yale University United States of America
statistical signal processing
high-dimensional estimation
statistical learning
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Gareth Roberts
University of Warwick United Kingdom
stochastic simulation
stochastic processes
statistical inference
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Saikat Chatterjee
Royal Institute of Technology Sweden
statistical machine learning
estimation
signal processing
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Gareth Roberts
University of Warwick United Kingdom
stochastic simulation
stochastic processes
statistical inference
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Lin Fan
Northwestern University United States of America
stochastic simulation
stochastic processes
statistical inference
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Christian Jørgensen
Aalborg University Denmark
estimating functions
statistical modelling
statistical inference
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Guang Lin
Purdue University United States of America
statistical machine learning
predictive modeling
stochastic multiscale modeling
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A.c.c. Coolen
Radboud University Netherlands
stochastic processes
predictive analysis
statistical inference
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Guang Lin
Purdue University United States of America
statistical machine learning
predictive modeling
stochastic multiscale modeling
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
computational stochastic mechanics
probabilistic multi-scale modeling
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Cosma Shalizi
Carnegie Mellon University United States of America
stochastic processes
statistical inference
nonparametric prediction
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Nazim Khan
University of Western Australia Australia
stochastic modelling
statistical computing
statistical model selection
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
computational stochastic mechanics
probabilistic multi-scale modeling
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Subhrakanti Dey
Uppsala University Sweden
estimation
signal processing
stochastic optimization
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Madhuchhanda Bhattacharjee
University of Manchester United Kingdom
stochastic processes
statistical inference
regression modeling
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Hina Shaheen
University of Manitoba Canada
statistical machine learning
computational modelling
probability stochastic processes
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Mert Sabuncu
Cornell University Netherlands
probabilistic modeling
signal processing
statistical inference
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Sabine Loos
University of Michigan United States of America
predictive modeling
statistical inference
statistical learning
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