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Profile likelihood in systems biology
The FEBS Journal, 2013Inferring knowledge about biological processes by a mathematical description is a major characteristic of Systems Biology. To understand and predict system's behavior the available experimental information is translated into a mathematical model.
Kreutz, Clemens +3 more
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Biometrika, 1993
Summary: An adjustment to the profile likelihood proposed by \textit{D. R. Cox} and \textit{N. Reid} [J. R. Stat. Soc., Ser. B 49, 1-39 (1987; Zbl 0616.62006)] when the parameters are orthogonal is shown to agree with modified profile likelihood in a number of instances in which the parameters are not orthogonal.
Barndorff-Nielsen, Ole E. +1 more
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Summary: An adjustment to the profile likelihood proposed by \textit{D. R. Cox} and \textit{N. Reid} [J. R. Stat. Soc., Ser. B 49, 1-39 (1987; Zbl 0616.62006)] when the parameters are orthogonal is shown to agree with modified profile likelihood in a number of instances in which the parameters are not orthogonal.
Barndorff-Nielsen, Ole E. +1 more
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Statistics & Probability Letters, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lin, Lu, Zhang, Runchu
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lin, Lu, Zhang, Runchu
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Model-Averaged Profile Likelihood Intervals
Journal of Agricultural, Biological, and Environmental Statistics, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fletcher, David, Turek, Daniel
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On Profile Likelihood: Comment
Journal of the American Statistical Association, 2000Jianqing Fan, Wing-Hung Wong
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A note on the difference between profile and modified profile likelihood
Biometrika, 1992The difference between profile likelihood and modified profile likelihood depends primarily on the expected value of a certain third order derivative of the log likelihood. It is shown that in exponential family problems this derivative vanishes if the parameter of interest is a mean parameter but in general not when it is a canonical parameter.
D. R. Cox, N. Reid
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Adaptive Transferred-profile Likelihood Learning
2016 International Joint Conference on Neural Networks (IJCNN), 2016The recent success of representation learning is built upon the learning of relevant features, in particular from unlabelled data available in different domains. This raises the question of how to transfer and reuse such knowledge effectively so that the learning of a new task can be made easier or be improved.
Son Ngoc Tran, Artur S. d'Avila Garcez
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On a criticism of the profile likelihood function
Statistical Papers, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Montoya, José A. +2 more
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An approximation to the modified profile likelihood function
Biometrika, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Improved profile likelihood inference
Journal of Statistical Planning and Inference, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ferrari, Silvia L. P. +2 more
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