Bootstrap Methods: Another Look at the Jackknife

By Bradley Efron. 1979

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Citations in the corpus

Colorful Image Colorization (2016, methodology): “10; all statistics estimated by bootstrap [34]).”
Fast Conditional Independence Test for Vector Variables with Large Sample Sizes (2018, methodology): “X6??Y jZ. As an alternative to using the t-test (which assumes the distribution of MSEs under the null hypothesis is Gaussian), we experimented with using bootstrap to estimate the null distribution [Efron, 1992]. Since the results were nearly identical across our evaluation tasks, for simplicity of”
Trend analysis of climate time series: A review of methods (2019, methodology): “Efron (1979, 1982) collected and synthesized earlier works by others and presented ordinary (i.e., pointwise or block length unity) bootstrap resampling.”
Informing sequential clinical decision-making through reinforcement learning: an empirical study (2010, methodology): “Resampling methods such as the bootstrap are often used in the clinical trial setting to provide both approximate variance estimates and confidence intervals (Efron 1979; Efron and Tibshirani 1993).”
COVID-19 antibody seroprevalence in Santa Clara County, California (2020, methodology): “We use the basic percentile of the bootstrap distribution to construct confidence intervals.(12) This procedure assumes that the community sample, negative control sample and positive control sample are drawn independently.”
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review (2015, methodology): “One can estimate uncertainties for parametric functions by adopting perturbation or bootstrapping approaches (Efron, 1979), though these techniques are not yet common in the broader RS community.”
Estimating forage biomass and quality in a mixed sown pasture based on partial least squares regression with waveband selection (2008, methodology): “A bootstrap procedure (Efron 1979) was applied to test the predictive ability of the PLS regression model for both ‘whole’ and ‘selected’ wavebands.”
SMOOTHED EMPIRICAL LIKELIHOOD METHODS FOR QUANTILE REGRESSION MODELS (2006, unknown): “where c> 0 is a constant which determines the coverage probability αhc of Ihc : αhc = P(β0 ∈ Ihc )= P (lh(β0) ≤ c). ( 17 )”
Epidemiologic Evaluation of Measurement Data in the Presence of Detection Limits (2004, methodology): “We therefore do not use (3 and G2 for the imputation, but rather (3 and G2, which are estimated from a bootstrap sam? ple of the data (Efron 1979).”
On the Asymptotic Accuracy of Efron's Bootstrap (1981, methodology): “Recently, Efron (1979) introduced a very general resampling procedure, called the bootstrap, for estimating the distributions of statistics based on independent observations.”