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Likelihood Based Methods
Likelihood Based Methods Professors in Global
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Professor
Alice Richardson
Australian National University
Australia
data mining methods
statistical methods for large datasets
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Professor
Christina Kendziorski
University of Wisconsin–Madison
United States of America
bayes methods
empirical bayes methods
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Professor
Annie Dupuis
University of Toronto
Canada
multivariate methods
graphical methods
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Professor
Francesca Chiaromonte
Pennsylvania State University
United States of America
multivariate methods
feature selection methods
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Professor
Catherine Forbes
Monash University
Australia
computational methods
robust statistical methods
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Professor
Sean Eddy
Harvard University
United States of America
computational methods
probability modeling
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Professor
Kate Hong
Carnegie Mellon University
United States of America
statistical methods
mathematical methods
behavioral methods
computational methods
physiological methods
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Professor
Sheehan Olver
Imperial College London
United Kingdom
computational methods
spectral methods
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Professor
Jordana Salma
University of Alberta
Canada
qualitative methods
community-based participatory methods
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Professor
Kim Levere
University of Guelph
Canada
numerical methods
fractal-based methods
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Professor
Guido Kanschat
Heidelberg University
Germany
numerical methods
mathematical methods for simulation
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Professor
Anthony Patera
Massachusetts Institute of Technology
United States of America
numerical methods
reduced basis methods
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Professor
Anna Post
University of Gothenburg
Sweden
qualitative research methods
longitudinal research methodology
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Professor
Alastair Hall
University of Manchester
United Kingdom
generalized empirical likelihood
moment-based estimation methods
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Professor
Yingzhen Li
Imperial College London
United Kingdom
adaptive methods
probabilistic machine learning
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Professor
Theo Damoulas
University of Warwick
United Kingdom
approximate inference methodologies
probabilistic machine learning
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Professor
Kathrin Eitel
University of Zurich
Switzerland
speculative approaches
co-laborative methods
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Professor
Rebecca Lai
University of Glasgow
United Kingdom
assessment methods
teaching methods
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Professor
Kelley Skeff
Stanford University
United States of America
assessment methods
teaching methods
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Professor
Ilan Adler
University of California, Berkeley
United States of America
probabilistic analysis
combinatorial approaches
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Professor
Richard Waterman
University of Pennsylvania
United States of America
likelihood methods
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