Maximum Likelihood Estimation Professors in Global

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Iain Murray
University of Edinburgh United Kingdom
maximum likelihood
neural likelihood
density estimation
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Philipp Sterzinger
London School of Economics United Kingdom
maximum penalized likelihood
estimation
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Melike Alper
University of Southampton United Kingdom
empirical likelihood inference
variance estimation
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Nanwei Wang
University of New Brunswick Canada
composite likelihood
scalable likelihood methods
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Yang Zhao
University of Regina Canada
maximum likelihood
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John Mcarthur
University of Southern California United States of America
optimal estimation
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Boris Levit
Queen's University Canada
optimal estimation
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Erik Baurdoux
London School of Economics and Political Science United Kingdom
optimal prediction
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Sandy Zabell
Northwestern University United States of America
mathematical probability
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Sandy Zabell
Northwestern University United States of America
mathematical probability
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Alan Hammond
University of California, Berkeley United States of America
mathematical probability
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Alan Hammond
University of California, Berkeley United States of America
mathematical probability
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Sandy Zabell
Northwestern University United States of America
mathematical probability
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Mårten Olsson
KTH Royal Institute of Technology Sweden
probabilistic load estimation
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Taisuke Otsu
London School of Economics and Political Science United Kingdom
empirical likelihood
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Azeem Shaikh
University of Chicago United States of America
empirical likelihood
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Taisuke Otsu
London School of Economics and Political Science United Kingdom
empirical likelihood
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Song Cai
Carleton University Canada
empirical likelihood
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Min Tsao
University of Victoria Canada
empirical likelihood
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Asokan Variyath
Memorial University of Newfoundland Canada
empirical likelihood
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Pengfei Li
University of Waterloo Canada
empirical likelihood
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