Results 81 to 90 of about 22,043,161 (356)
Bootstrap and Wild Bootstrap for High Dimensional Linear Models
The Annals of Statistics, 1993 In this paper two bootstrap procedures are considered for the estimation of the distribution of linear contrasts and of F-test statistics in high dimensional linear models. An asymptotic approach will be chosen where the dimension p of the model may increase for sample size $n\rightarrow\infty$.
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The Grid Bootstrap and the Autoregressive Model [PDF]
Review of Economics and Statistics, 1999 A “grid” bootstrap method is proposed for confidence-interval construction, which has improved performance over conventional bootstrap methods when the sampling distribution depends upon the parameter of interest. The basic idea is to calculate the bootstrap distribution over a grid of values of the parameter of interest and form the confidence ...
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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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Bootstrap percolation on the stochastic block model
Bernoulli, 2023 We analyze the bootstrap percolation process on the stochastic block model (SBM), a natural extension of the Erd s--R nyi random graph that incorporates the community structure observed in many real systems. In the SBM, nodes are partitioned into two subsets, which represent different communities, and pairs of nodes are independently connected with a
Torrisi, Giovanni Luca +2 more
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Advanced Science, EarlyView.Utilizing a stereotaxic injection mouse model and a novel mathematical approach, this study uncovers key subnetworks that drive pathological α‐synuclein (α‐Syn) progression in Parkinson's disease (PD). Remarkably, just 2% of the strongest connections in the connectome are sufficient to predict its spread.
Yuanxi Li +16 more
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Jointly Rayleigh lifetime products in the presence of competing risks model
Open Physics, 2022 In this article, we are applying the competing risks model of product from two different lines of production. So, the comparative life test is done under type-II censoring scheme with consideration of only two independent causes of failure.
Badr Souha K., Abu-Zinadah Hanaa
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De Novo Reconstruction of 3D Human Facial Images from DNA Sequence
Advanced Science, EarlyView.This study introduces Difface, a novel deep‐learning model for reconstructing 3D facial images only from DNA data. By integrating transformer networks, spiral convolutions, and a diffusion model, Difface directly aligns high‐dimensional SNP data with 3D facial structures.
Mingqi Jiao +11 more
wiley +1 more source
Bootstrapping Non-Stationary Stochastic Volatility [PDF]
arXiv, 2021 In this paper we investigate how the bootstrap can be applied to time series regressions when the volatility of the innovations is random and non-stationary. The volatility of many economic and financial time series displays persistent changes and possible non-stationarity.
arxiv
Advanced Science, EarlyView.In people with overweight or obesity, regular exercise even without weight loss or vitamin D supplementation completely prevents the usual winter decline in the vitamin D metabolite that maintains health at a cellular level, 1,25(OH)2D3, and ameliorates the decline in the vitamin D status marker 25(OH)D.
Oliver J. Perkin +11 more
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Re-sampling Techniques in Count Data Regression Models [PDF]
المجلة العراقية للعلوم الاحصائية, 2012 Modeling count variables is a common task in many application areas such as economics, social sciences, and medicine. The classical Poisson regression model for count data is often used and it is limited in these disciplines since count data sets ...
Zakariya Y. Algamal
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