Results 231 to 240 of about 327,047 (257)

Improved profile likelihood inference

Journal of Statistical Planning and Inference, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ferrari, Silvia L. P., Lucambio, Fernando, Cribari-Neto, Francisco   +2 more
openaire   +1 more source

Notes on likelihood intervals and profiling

Communications in Statistics - Theory and Methods, 2000
In many applications, decisions are made on the basis of function of parameters g(θ). When the value of g(theta;) is calculated using estimated values for te parameters, its is important to have a measure of the uncertainty associated with that value of g(theta;).
Shannon L. Quinn, Thomas J. Harris, David W. Bacon   +2 more
openaire   +1 more source

On a criticism of the profile likelihood function

Statistical Papers, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Montoya, José A., Díaz-Francés, Eloísa, Sprott, David A.   +2 more
openaire   +2 more sources

An approximation to the modified profile likelihood function

Biometrika, 1998
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The likelihood of Condorcet's profiles

2002
International ...
Merlin, Vincent, Valognes, Fabrice, Tataru, M.   +2 more
openaire   +1 more source

Adjusted Quasi-Profile Likelihoods and Robustness

2001
An adjusted quasi-profile loglikelihood for a scalar parameter of interest is discussed. The corresponding quasi-profile score has bias which is asymptotically negligible. Because of this, it is likely to provide accurate inferences with small samples or many nuisance parameters. An application to robust M-estimation is presented, which gives rise to a
R. Bellio, BRAZZALE, ALESSANDRA ROSALBA, VENTURA, LAURA   +2 more
openaire   +3 more sources

On Profile Likelihood: Rejoinder

Journal of the American Statistical Association, 2000
S. A. Murphy, A. W. van der Vaart
openaire   +1 more source

The modified profile likelihood function

2000
Abstract In Chapter 8 it was shown that, in some cases, inference about a parameter of interest ψ may be based on a marginal or conditional likelihood function. Those methods are only available however when the model has a particular structure.
openaire   +1 more source

Profile-profile methods provide improved fold-recognition: A study of different profile-profile alignment methods

Proteins: Structure, Function and Bioinformatics, 2004
Björn Wallner, Arne Elofsson
exaly  

Within the twilight zone: a sensitive profile-profile comparison tool based on information theory

Journal of Molecular Biology, 2002
Michael Levitt, Golan Yona
exaly