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Accurate and efficient construction of bootstrap likelihoods
Authors:A C Davison  D V Hinkley  B J Worton
Institution:(1) Department of Statistics, University of Oxford, 1 South Parks Road, OX1 3TG Oxford, UK;(2) Department of Statistics and Applied Probability, University of California, 93106 Santa Barbara, CA, USA;(3) Department of Mathematics and Statistics, University of Edinburgh, The King's Buildings, EH9 3JZ Edinburgh, UK
Abstract:The simplest construction of bootstrap likelihoods involves two levels of bootstrapping, kernel density estimation, and non-parametric curve-smoothing. We describe more accurate and efficient constructions, based on smoothing at the first level of nested bootstraps and saddlepoint approximation to remove second-level bootstrap variation. Detailed illustrations are given.
Keywords:Bootstrap recycling  correlation coefficient  empirical likelihood  kernel density estimation  Laplace's method  non-parametric smoothing  saddlepoint approximation
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