Results 21 to 30 of about 1,306,091 (274)
Smoothed Bootstrap Aggregation for Assessing Selection Pressure at Amino Acid Sites [PDF]
Joseph Mingrone +2 more
openalex +2 more sources
The smoothed median and the bootstrap
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B. Brown, P. Hall, G. A. Young
semanticscholar +5 more sources
Inference via Kernel Smoothing of Bootstrap P Values [PDF]
Resampling methods such as the bootstrap are routinely used to estimate the finite-sample null distributions of a range of test statistics. We present a simple and tractable way to perform classical hypothesis tests based upon a kernel estimate of the CDF of the bootstrap statistics.
Jeffrey S. Racine +3 more
openalex +4 more sources
Bootstrap of Kernel Smoothing in Nonlinear Time Series [PDF]
Kernel smoothing in nonparametric autoregressive schemes offers a powerful tool in modelling time series. In this paper it is shown that the bootstrap can be used for estimating the distribution of kernel smoothers. This can be done by mimicking the stochastic nature of the whole process in the bootstrap resampling or by generating a simple regression ...
Jürgen Franke +2 more
openalex +11 more sources
Nonparametric bootstrap confidence bands for unfolding sphere size distributions [PDF]
The stereological inverse problem of unfolding the distribution of spheres radii from measured planar sections radii, known as the Wicksell's corpuscle problem, is considered.
Jakub Wojdyła
doaj +1 more source
Practical higher-order smoothing of the bootstrap
In the context of functional estimation, the bootstrap approach amounts to substitution of the empirical distribution function for the unknown underlying distribution in the definition of the functional. A smoothed bootstrap alternative substitutes instead a smoothed version of the empirical distribution function, obtained by kernel smoothing of the ...
S Lee, G. A. Young
openalex +3 more sources
Smoothed estimator of the periodic hazard function [PDF]
A smoothed estimator of the periodic hazard function is considered and its asymptotic probability distribution and bootstrap simultaneous confidence intervals are derived.
Anna Dudek
doaj +1 more source
Smoothed bootstrap Malmquist index based on DEA model to compute productivity of tax offices
Ramón Fuentes, Adelaida Lillo Bañuls
openalex +3 more sources
AUTOMATIC IDENTIFICATION OF DYSPHONIAS USING MACHINE LEARNING ALGORITHMS
Dysphonia is a prevalent symptom of some respiratory diseases that affects voice quality, even for prolonged periods. For its diagnosis, speech-language pathologists make use of different acoustic parameters to perform objective evaluations on patients ...
Miguel Angel BELLO RIVERA +4 more
doaj +1 more source
Smooth bootstrapping of copula functionals
The smooth bootstrap for estimating copula functionals in small samples is investigated. It can be used both to gauge the distribution of the estimator in question and to augment the data. Issues arising from kernel density and distribution estimation in the copula domain are addressed, such as how to avoid the bounded domain, which bandwidth matrix to
Coblenz, Maximilian +3 more
openaire +4 more sources

