Time Series Methods Professors in Global

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John Anderson
Carnegie Mellon University United States of America
statistical methods
mathematical methods
computational methods
behavioral methods
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Kaixin Liu
London School of Economics and Political Science United Kingdom
time series analysis
tensor time series
high-dimensional time series
high-frequency time series
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Nazim Khan
University of Western Australia Australia
time series modelling
time series analysis
computational methods
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Dave Touretzky
Carnegie Mellon University United States of America
statistical methods
mathematical methods
computational methods
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Stephen Haben
University of Oxford United Kingdom
time series analysis
clustering methods
optimization methods
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Caleb Pomeroy
University of Toronto Canada
statistical methods
computational methods
experimental methods
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Adriano Polpo
University of Western Australia Australia
time series analysis
classification methods
bayesian methods
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Mike Tarr
Carnegie Mellon University United States of America
statistical methods
mathematical methods
behavioral methods
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Alison Barth
Carnegie Mellon University United States of America
statistical methods
anatomical methods
molecular methods
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Ingemar André
Lund University Sweden
computational methods
experimental methods
high-throughput methods
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Oleg Pikhurko
University of Warwick United Kingdom
probabilistic methods
algebraic methods
analytic methods
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Monique Laurent
Tilburg University Netherlands
combinatorial methods
geometric methods
algebraic methods
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Thees Spreckelsen
University of Glasgow United Kingdom
research methods
experimental methods
survey research methods
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Jo Ferrie
University of Glasgow United Kingdom
research methods
qualitative methods
quantitative methods
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Charles Kenley
Purdue University United States of America
bayesian methods
modeling and simulation methods
quantitative methods
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Pia Pedersen
University of Southern Denmark Denmark
ethnographic methods
qualitative methods
mixed methods
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Daniel Malinsky
Columbia University United States of America
time series analysis
statistical methods
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Frits Bijleveld
Vrije Universiteit Amsterdam Netherlands
time series analysis
statistical methods
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John Zito
Duke University Singapore
statistical methods
time-series analysis
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Suchi Saria
Johns Hopkins University United States of America
time series models
probabilistic methods
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Jakob Runge
Causal Inference Lab United States of America
time series analysis
network-based methods
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