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The stationary bootstrap [PDF]
Journal of the American Statistical Association, 1994 This article introduces a resampling procedure called the stationary bootstrap as a means of calculating standard errors of estimators and constructing confidence regions for parameters based on weakly dependent stationary observations.
D. Politis, Joseph P. Romano
semanticscholar +4 more sources
Deterministic bootstrapping for a class of bootstrap methods [PDF]
arXiv, 2019 An algorithm is described that enables efficient deterministic approximate computation of the bootstrap distribution for any linear bootstrap method $T_n^*$, alleviating the need for repeated resampling from observations (resp. input-derived data). In essence, the algorithm computes the distribution function from a linear mixture of independent random ...
arxiv +3 more sources
Snowmass white paper: The cosmological bootstrap [PDF]
SciPost Physics Community Reports, 2022 This white paper summarizes recent progress in the cosmologicalbootstrap, an approach to the study of the statistics of primordialfluctuations from consistency with unitarity, locality and symmetryassumptions.
D. Baumann +6 more
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Flow Annealed Importance Sampling Bootstrap [PDF]
International Conference on Learning Representations, 2022 Normalizing flows are tractable density models that can approximate complicated target distributions, e.g. Boltzmann distributions of physical systems. However, current methods for training flows either suffer from mode-seeking behavior, use samples from
L. Midgley +4 more
semanticscholar +1 more source
Determination of the Variance of Complex Calculated Clinical Chemistry Tests; Application in Calculated Low Density Lipoprotein and Atherogenic Index of Plasma [PDF]
Journal of Clinical and Diagnostic Research, 2020 Introduction: Measurement uncertainty is the random error component of the measurement and is an interval around the measured value, into which the true value lies with some probability.
Christina Tsigalou +4 more
doaj +1 more source
Rotation Periods of Asteroids Determined With Bootstrap Convex Inversion From ATLAS Photometry
Frontiers in Astronomy and Space Sciences, 2022 The rotation period is one of the fundamental physical characteristics of asteroids. It can be determined from photometric measurements by standard methods of time-series period analysis or by creating a physical model of an asteroid with the rotation ...
Josef Ďurech +3 more
doaj +1 more source
Frontiers in Medicine, 2021 Purpose: Maternal lipid profile in second trimester has rarely been investigated in the risk assessment for pre-eclampsia (PE). Since early-onset PE often companied by much worse clinical outcomes, thus, we aimed to evaluate the predictive value of ...
Juan Li +7 more
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The Annals of Statistics, 2021 The bootstrap, introduced by Efron (1982), has become a very popular method for estimating variances and constructing confidence intervals. A key insight is that one can approximate the properties of estimators by using the empirical distribution function of the sample as an approximation for the true distribution function.
Guido W. Imbens, Konrad Menzel
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New Developments in Sparse PLS Regression
Frontiers in Applied Mathematics and Statistics, 2021 Methods based on partial least squares (PLS) regression, which has recently gained much attention in the analysis of high-dimensional genomic datasets, have been developed since the early 2000s for performing variable selection.
Jérémy Magnanensi +6 more
doaj +1 more source
Synthese, 2012 According to a much discussed argument, reliabilism is defective for making knowledge too easy to come by. In a recent paper, Weisberg aims to show that this argument relies on a type of reasoning that is rejectable on independent grounds. We argue that the blanket rejection that Weisberg recommends of this type of reasoning is both unwarranted and ...
Douven, Igor, Kelp, Christoph
openaire +4 more sources