Recent Developments in Bootstrap Methodology

231 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Bootstrap Methods in Econometrics (2006, unknown): “References that discuss a variety of methods for constructing confidence intervals include DiCiccio and Efron (1996) and Davison and Hinkley (1997).”
Out-of-bag estimation of the optimal sample size in bagging (2010, methodology): “Subsampling and m-out-of-n bootstrapping with m < n have been proposed in the statistical literature as alternatives to the standard bootstrap [14, 15, 16, 17, 18].”
Reputation Formation and the Evolution of Cooperation in Anonymous Online Markets (2014, unknown): “This p -value is an empirical strength probability computed as the fraction of bootstrap samples in which the point estimates for the coefficients are in accordance with the null-hypothesis (see Davison, Hinkley, and Young 2003).”
Bootstrap Hypothesis Testing (2007, background): “have been many useful survey papers, including DiCiccio and Efron (1996), Horowitz (2001), MacKinnon (2002), Davison et al. (2003), and Horowitz (2003).”
A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management (2015, methodology): “The bootstrap is a resampling-based estimation procedure that simulates the natural sampling variability by drawing observations from the available data (Davison et al. 2003).”