Results 41 to 50 of about 145,962 (303)
Remote Sensing, 2020 The choice of an appropriate metric is mandatory to perform deformation analysis between two point clouds (PC)—the distance has to be trustworthy and, simultaneously, robust against measurement noise, which may be correlated and heteroscedastic ...
Gaël Kermarrec +2 more
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Bootstrap, Wild Bootstrap and Generalized Bootstrap [PDF]
, 1995 Some modifications and generalizations of the bootstrap procedurehave been proposed. In this note we will consider the wild bootstrap and the generalized bootstrap and we will give two arguments why it makes sense touse these modifications instead of the original bootstrap.
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A Weighted Bootstrap Approach to Bootstrap Iteration
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2000 Summary The operation of resampling from a bootstrap resample, encountered in applications of the double bootstrap, maybe viewed as resampling directly from the sample but using probability weights that are proportional to the numbers of times that sample values appear in the resample.
Hall, Peter, Maesono, Y
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Frontiers in PsychologyThe failure of self-regulation lies at the core of academic procrastination, which poses a serious threat to academic success. This study examines the direct impact of self-regulated strategies on academic procrastination and academic success among ...
Xue Tao, Hafiz Hanif, Wang Lieqin
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SSRN Electronic Journal, 2011 We propose a methodology for constructing confidence regions with partially identified models of general form. The region is obtained by inverting a test of internal consistency of the econometric structure. We develop a dilation bootstrap methodology to deal with sampling uncertainty without reference to the hypothesized economic structure.
Galichon, Alfred, Henry, Marc
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SIAM Journal on Mathematics of Data Science, 2021 Probabilistic models of data sets often exhibit salient geometric structure. Such a phenomenon is summed up in the manifold distribution hypothesis, and can be exploited in probabilistic learning. Here we present normal-bundle bootstrap (NBB), a method that generates new data which preserve the geometric structure of a given data set.
Ruda Zhang, Roger G. Ghanem
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GeomaticsTerrestrial laser scanners (TLS) are widely employed in structural health monitoring (SHM) of large objects due to their superior capabilities compared to traditional geodetic methods.
Adis Hamzić +6 more
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Corrected goodness-of-fit index in latent variable modeling using non-parametric bootstrapping
Frontiers in PsychologyLatent variable modeling (LVM) is a powerful tool for validating tools and measurements in the social sciences. One of the main challenges in this method is the evaluation of model fit that is traditionally assessed using omnibus inferential statistical ...
Georgios Sideridis, Mohammed Alghamdi
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Bootstrapping unit root AR(1) models [PDF]
, 1992 We propose abootstrap resampling scheme for the least squares estimator of the parameter of an unstable first-order autoregressive model and we prove its asymptotic validity. This method is alternative to the invalid one studied by Basawa et al. (1991)
Ferretti, Nélida, Romo, Juan
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