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Plug-in principle
In statistics, the plug-in principle is the method of estimation of functionals of a population distribution by evaluating the same functionals at…
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3 relations
Bootstrapping (statistics)
Broader (2)
Computational statistics
Resampling (statistics)
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2017
2017
14.382 Spring 2017 Lecture 6: Nonlinear and Binary Regression, Predictive Effects, and M-Estimation
V. Chernozhukov
,
Iván Fernández-Val
2017
Corpus ID: 78088265
We begin by formulating nonlinear regression models, where nonlinearity may arise via parameters or via variables. We discuss the…
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2003
2003
Fast Bootstrap for Model Structure Selection
A. Lendasse
,
V. Wertz
,
G. Simon
,
M. Verleysen
2003
Corpus ID: 5582001
In this paper we propose an effective procedure to reduce the computation time of a bootstrap approximation of the generalization…
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1993
1993
The empirical distribution function and the plug-in principle
B. Efron
,
R. Tibshirani
1993
Corpus ID: 124962732