Likelihood Computation
Likelihood Computation is a statistical procedure that belongs to the class of methods used for evaluating the probability of observed data under a specified parametric model, distinguished by its focus on calculating the likelihood function as a function of model parameters given fixed observed data.
402
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40.5K
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717
Authors
398
Institutions
Publications per year
2017–2026
32
402
Analysis of Categorical Data by Linear Models
James E. Grizzle, C F Starmer, Gary G. Koch · Biometrics · 1969 · 1.5K citations
Maximum Likelihood Specification Testing and Conditional Moment Tests
Whitney K. Newey · Econometrica · 1985 · 527 citations
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398
University of Chicago
Chicago, United States
7 h-index
9 publications
277 citations

University of Toronto
Toronto, Canada
6 h-index
7 publications
260 citations
Stanford University
Stanford, United States
6 h-index
5 publications
213 citations
Texas A&M University
College Station, United States
6 h-index
7 publications
340 citations

University of British Columbia
Vancouver, Canada
6 h-index
8 publications
805 citations
University of California, Berkeley
Berkeley, United States
5 h-index
6 publications
426 citations

McMaster University
Hamilton, Canada
5 h-index
5 publications
252 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
7 publications
181 citations
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19 publications · 1.3K citations
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19 publications · 1.4K citations
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15 publications · 1.1K citations
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CSDA · 13 publications · 511 citations
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JSCS · 13 publications · 473 citations
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