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Some of the next articles are maybe not open access.

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

Selected topics in analytic conformal bootstrap: A guided journey

Physics Reports, 2022
Agnese Bissi   +2 more
exaly  

Bootstrapping, 0.632 Bootstrap

2013
Daniel Berrar, Werner Dubitzky
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

Trends in Cognitive Sciences, 1998
openaire   +2 more sources

Apprenticeship Bootstrapping

2018 International Joint Conference on Neural Networks (IJCNN), 2018
Hung The Nguyen 0001   +2 more
openaire   +1 more source

Bootstrap Inflation

The Journal of Finance, 1976
openaire   +1 more source

UFBoot2: Improving the Ultrafast Bootstrap Approximation

Molecular Biology and Evolution, 2018
Diep Thi Hoang   +2 more
exaly  

Fast and wild: Bootstrap inference in Stata using boottest

The Stata Journal, 2019
David Roodman   +2 more
exaly  

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