Likelihood Asymptotics
Likelihood Asymptotics is a theoretical framework in statistical inference that characterizes the limiting behavior of likelihood functions and associated estimators as the sample size tends to infinity, providing justification for the asymptotic normality of maximum likelihood estimates and the validity of likelihood-based hypothesis tests under regularity conditions.
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Asymptotic formulae for likelihood-based tests of new physics
The European Physical Journal C · 2011 · 2.9K citations · Full text
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Stanford University
Stanford, United States
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26 publications
2.1K citations

Aarhus University
Aarhus, Denmark
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1.3K citations

University of Toronto
Toronto, Canada
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840 citations
University of Chicago
Chicago, United States
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490 citations

Cornell University
Ithaca, United States
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448 citations

University of Waterloo
Waterloo, Canada
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11 publications
1.1K citations
North Carolina State University
Raleigh, United States
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14 publications
485 citations

Australian National University
Canberra, Australia
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