Causal Inference Methods Professors in Global

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David Kaplan
University of Wisconsin–Madison United States of America
quantitative methods
bayesian statistical methods
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Holly Andersen
Simon Fraser University Canada
causal mathematical explanation
causation
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Charles Kenley
Purdue University United States of America
bayesian methods
quantitative methods
modeling and simulation methods
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Kim Levere
University of Guelph Canada
fractal-based methods
numerical methods
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Ned Nedialkov
McMaster University Canada
numerical methods
interval numerical methods
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Jesper Jerkert
KTH Royal Institute of Technology Sweden
scientific methods
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Petra Ahnlund
Umeå University Sweden
scientific methods
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Anton Westveld
Australian National University Australia
statistical causality
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Eva Vrangbæk
Aarhus University Denmark
data-intensive methods
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Miranda Tsuyuki
University of British Columbia Canada
immunological methods
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Grant Hillier
University of Southampton United Kingdom
inference in structural models
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Deborah Kim
University of Warwick United Kingdom
inference problems
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Daniel Mortlock
Imperial College London United Kingdom
inference problems
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Lina Zhang
University of Amsterdam Netherlands
inference problems
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Ayaka Okuya
University of Warwick United Kingdom
observational methodologies
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Ethan Sussman
Northwestern University United States of America
causal perturbation theory
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Moritz Gräfe
Technical University of Denmark Denmark
reliability methods
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Ida Raunkjær
University of Southern Denmark Denmark
anthropological methods
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Catherine Lutz
Brown University United States of America
anthropological methods
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Michael Fischer
Massachusetts Institute of Technology United States of America
anthropological methods
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Gabrielle Barkess-kerr
University of Edinburgh United Kingdom
anthropological methods
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