Constrained Maximum Likelihood Estimation
Constrained Maximum Likelihood Estimation is a method of parameter estimation that, within the framework of maximum likelihood, restricts the parameter space according to specified constraints, distinguishing itself from unconstrained maximum likelihood estimation by incorporating a priori restrictions on the parameters to ensure estimates satisfy predetermined conditions.
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Cmle
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On the Asymptotics of Constrained $M$-Estimation
Charles J. Geyer · The Annals of Statistics · 1994 · 310 citations · Full text
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University of Minnesota
Minneapolis, United States
6 h-index
10 publications
338 citations
University of Iowa
Iowa City, United States
6 h-index
9 publications
272 citations
The University of Texas at Austin
Austin, United States
4 h-index
7 publications
246 citations

Pennsylvania State University
State College, United States
4 h-index
5 publications
282 citations
Northeast Normal University
Changchun, China
3 h-index
7 publications
173 citations

Washington University in St. Louis
St Louis, United States
3 h-index
7 publications
753 citations
University of California San Diego
San Diego, United States
3 h-index
5 publications
142 citations
SRI International
Menlo Park, United States
3 h-index
6 publications
1.3K citations
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9 publications · 250 citations
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8 publications · 886 citations
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7 publications · 427 citations
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CSDA · 6 publications · 111 citations
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5 publications · 172 citations
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