Results 51 to 60 of about 22,191,063 (377)
Bootstrapping the O(N ) vector models [PDF]
Journal of High Energy Physics, 2014 26 pages, 5 figures; V2: typos ...
Kos, Filip +2 more
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Modelling of a post-combustion CO₂ capture process using neural networks [PDF]
, 2015 This paper presents a study of modelling post-combustion CO₂ capture process using bootstrap aggregated neural networks. The neural network models predict CO₂ capture rate and CO₂ capture level using the following variables as model inputs: inlet flue ...
Li, Fei +3 more
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Remote Sensing, 2020 This study predicts forest fire susceptibility in Chaloos Rood watershed in Iran using three machine learning (ML) models—multivariate adaptive regression splines (MARS), support vector machine (SVM), and boosted regression tree (BRT). The study utilizes
Bahareh Kalantar +5 more
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Efficient bootstrap estimates for tail statistics [PDF]
Natural Hazards and Earth System Sciences, 2017 Bootstrap resamples can be used to investigate the tail of empirical distributions as well as return value estimates from the extremal behaviour of the sample.
Ø. Breivik, O. J. Aarnes
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Bootstrapping Macroeconometric Models [PDF]
Studies in Nonlinear Dynamics & Econometrics, 2003 This paper outlines a bootstrapping approach to the estimation and analysis of macroeconometric models. It integrates for dynamic, nonlinear, simultaneous equation models the bootstrapping approach to evaluating estimators initiated by Efron (1979) and the stochastic simulation approach to evaluating models' properties initiated by Adelman and Adelman (
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Bootstrapping regression models with BLUS residuals [PDF]
Canadian Journal of Statistics, 2000 AbstractTo bootstrap a regression problem, pairs of response and explanatory variables or residuals can be resam‐pled, according to whether we believe that the explanatory variables are random or fixed. In the latter case, different residuals have been proposed in the literature, including the ordinary residuals (Efron 1979), standardized residuals ...
Michèle Grenier +3 more
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Myelin and Modeling: Bootstrapping Cortical Microcircuits [PDF]
Frontiers in Neural Circuits, 2019 Histological studies of myelin-stained sectioned cadaver brain and in vivo myelin-weighted magnetic resonance imaging (MRI) show that the cerebral cortex is organized into cortical areas with generally well-defined boundaries, which have consistent internal patterns of myelination.
Robert Turner +2 more
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Stats, 2023 To address the difficult problem of the multi-step-ahead prediction of nonparametric autoregressions, we consider a forward bootstrap approach. Employing a local constant estimator, we can analyze a general type of nonparametric time-series model and ...
Dimitris N. Politis, Kejin Wu
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Bootstrapping Regression Models
The Annals of Statistics, 1981 The regression and correlation models are considered. It is shown that the bootstrap approximation to the distribution of the least squares estimates is valid, and some error bounds are given.
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Bootstrap Approximations in Contractor Renormalization [PDF]
, 2008 We propose a bootstrap method for approximating the long-range terms in the Contractor Renormalization (CORE) method. The idea is tested on the 2-D Heisenberg antiferromagnet and the frustrated J_2-J_1 model.
G. Misguich +2 more
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