Results 271 to 280 of about 145,962 (303)
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The Weighted Bootstrap

1995
Des résultats mathématiques nouveaux sur une extension de la méthode du bootstrap proposée par David Mason (1992) sont exposés. L'idée est de pondérer les individus par des poids aléatoires (définis conditionnellement aux observations) imitant les fluctuations de l'échantillonnage (le bootstrap usuel correspondant à des poids multinomiaux).
Barbe, P., Bertail, Patrice
openaire   +3 more sources

“Bootstrapping without Bootstraps”

2018
1 online resource (PDF, page 43-54)
openaire   +1 more source

Eigenbackground Bootstrapping

2013 International Conference on Computer and Robot Vision, 2013
-A new method for initializing Eigenbackground is proposed. The approach does not require supervised or lengthy training, but instead is bootstrapped as a single unobstructed background frame is used to exploit spatial information in place of gathering a temporal history to generate pixel statistics.
Kevin Hughes   +2 more
openaire   +1 more source

An Introduction to the Bootstrap.

Biometrics, 1994
Introduction The Accuracy of a Sample Mean Random Samples and Probabilities The Empirical Distribution Function and the Plug-In Principle Standard Errors and Estimated Standard Errors The Bootstrap Estimate of Standard Error Bootstrap Standard Errors: Some Examples More Complicated Data Structures Regression Models Estimates of Bias The Jackknife ...
Alan Kimber, B. Efron, R. J. Tibshirani
openaire   +1 more source

Syntactic bootstrapping

WIREs Cognitive Science, 2010
AbstractChildren use syntax to guide verb learning in a process known as syntactic bootstrapping. Recent work explores how syntactic bootstrapping works—how it begins, and how it interacts with progress in syntax acquisition. We review evidence for three claims about the mechanisms and representations underlying syntactic bootstrapping: (1) Learners ...
Cynthia, Fisher   +3 more
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Bootstrap AMG

SIAM Journal on Scientific Computing, 2011
Summary: We develop an algebraic multigrid (AMG) setup scheme based on the bootstrap framework for multiscale scientific computation. Our approach uses a weighted least squares definition of interpolation, based on a set of test vectors that are computed by a bootstrap setup cycle and then improved by a multigrid eigensolver and a local residual-based ...
Achi Brandt   +3 more
openaire   +1 more source

On Bootstrapping Using Smoothed Bootstrap

2019
The standard bootstrap method was introduced as a resampling method for statistical inference; it is a computer based method for assigning measures of accuracy to statistical estimates. The bootstrap sample is obtained by randomly sampling n times, with replacement, from the original sample.
openaire   +1 more source

Survey bootstrap and bootstrap weights [PDF]

open access: possible, 2008
In this presentation, I will review the bootstrap for complex surveys with designs featuring stratification, clustering, and unequal probability weights. I will present the Stata module bsweights, which creates the bootstrap weights for designs specified through and supported by svy. I will also provide simple demonstrations highlighting the use of the
openaire  

Bootstrapping, 0.632 Bootstrap

2013
Daniel Berrar, Werner Dubitzky
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Bootstrapping

Trends in Cognitive Sciences, 1998
openaire   +2 more sources

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