Book ChapterDOI
Bootstrap Methods: Another Look at the Jackknife
David Hinkley
- pp 178-206
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The article was published on 2008-01-01. It has received 6615 citations till now. The article focuses on the topics: Jackknife resampling.read more
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Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application
TL;DR: In this article, the Toda-Yamamoto modified Wald (MWALD) test is applied to the testing of the efficient market hypothesis and Monte Carlo simulation results show that an MWALD test based on a bootstrap distribution has much smaller size distortions than corresponding cases when the asymptotic distribution is used.
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On the Sample Complexity of the Linear Quadratic Regulator
TL;DR: This paper proposes a multi-stage procedure that estimates a model from a few experimental trials, estimates the error in that model with respect to the truth, and then designs a controller using both the model and uncertainty estimate, and provides end-to-end bounds on the relative error in control cost.
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Active Learning Methods for Remote Sensing Image Classification
TL;DR: Two active learning algorithms for semiautomatic definition of training samples in remote sensing image classification, based on predefined heuristics, are proposed, which reach the same level of accuracy as larger data sets.
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Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances
TL;DR: The quality of PIs produced by the combiners is dramatically better than the quality ofPIs obtained from each individual method and a new method for generating combined PIs using the traditional PIs is proposed.
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Mortality after the 2003 invasion of Iraq : a cross-sectional cluster sample survey. Commentary
TL;DR: The proportion of deaths ascribed to coalition forces has diminished in 2006, although the actual numbers have increased every year, and Gunfire remains the most common cause of death, although deaths from car bombing have increased.