Likelihood Functions

Known as: Function, Likelihood, Functions, Likelihood, Likelihood Function 
Functions constructed from a statistical model and a set of observed data which give the probability of that data for various values of the unknown… (More)

Topic mentions per year

Topic mentions per year

1965-2016
0246819652016

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2014
2014
Recent works on 3D human pose tracking using unsupervised methods typically focus on improving the optimization framework to find… (More)
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2010
Highly Cited
2010
The Poisson-Gamma model has properties that are very similar to the Poisson model discussed in Appendix C, in which the dependent… (More)
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2009
2009
Likelihood (ML)-based phylogenetic inference has become a popular method for estimating the evolutionary relationships among… (More)
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Highly Cited
2007
Highly Cited
2007
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
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2004
2004
The problem of detecting the number of (possibly correlated) narrowband sources of energy and estimating the direction of arrival… (More)
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1997
1997
In the problem of parametric statistical inference with a ®nite parameter space, we propose some simple rules for de®ning… (More)
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Highly Cited
1995
Highly Cited
1995
Generalized linear models (Wedderburn and NeIder 1972, McCullagh and NeIder 1988) were introduced as a means of extending the… (More)
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1981
1981
A simple model for software reliability growth, originally suggested by Jelinski & Moranda, has been widely used but suffers from… (More)
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1976
1976
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii Sunto… (More)
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