Results 51 to 60 of about 9,169 (255)
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
One-Step Bootstrapping for Smooth Iterative Procedures
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1991 SUMMARY Resampling techniques have the potential to provide useful information about the sampling distribution of estimators of many population characteristics. Ambitious schemes such as the bootstrap and iterated bootstrap imply a substantial increase in computational effort.
Schucany, William R., Wang, Suojin
openaire +2 more sources
Smoothed pseudo-population bootstrap methods with applications to finite population quantiles
This article introduces smoothed pseudo-population bootstrap methods for the purposes of mean-squared error estimation and for constructing confidence intervals for finite population quantiles.
Léger, Christian, McNealis, Vanessa
core +1 more source
Bootstrap variance estimation for Nadaraya quantile estimator [PDF]
, 2009 Nadaraya quantile estimator, Order-calibration, Smoothed bootstrap, 62G05, 62G09, 62G30,
Cheung, KY +5 more
core +1 more source
Advanced Science, EarlyView.TaMYB7‐A1 directly activates TaABI5 to enhance ABA signaling and regulate ABA‐GA homeostasis, enforcing seed dormancy. Its superior allele, derived from wild einkorn introgression, harbors a MITE insertion that elevates expression and two amino acid substitutions that enhance transcriptional activity, collectively generating graded PHS resistance for ...
Hao Wang +18 more
wiley +1 more source
Advanced Science, EarlyView.This study systematically reveals a complex interactive network involving plants, microbes, and insects, elucidating the ecological and molecular mechanisms by which cotton enhances its resistance to aphids through the active recruitment of the beneficial soil bacterium Delftia tsuruhatensis.
Hui Xue +11 more
wiley +1 more source
Kernel Smoothing to Improve Bootstrap Confidence Intervals
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1997 Summary Some studies of the bootstrap have assessed the effect of smoothing the estimated distribution that is resampled, a process usually known as the smoothed bootstrap. Generally, the smoothed distribution for resampling is a kernel estimate and is often rescaled to retain certain characteristics of the empirical distribution ...
Polansky, Alan M., Schucany, William R.
openaire +2 more sources
Smoothed bootstrap bandwidth selection for nonparametric hazard rate estimation
, 2018 A smoothed bootstrap method is presented for the purpose of bandwidth selection in nonparametric hazard rate estimation for iid data. In this context, two new bootstrap bandwidth selectors are established based on the exact expression of the bootstrap ...
Inés Barbeito (5864351) +1 more
core +1 more source
Advanced Science, EarlyView.A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai +3 more
wiley +1 more source
Smoothed bootstrapping kernel density estimation under higher order kernel [PDF]
, 2022 Smoothed bootstrap method is a useful method to approximates the bias of Kernel density estimation. However, it can only be applied when the kernel function is of second order. In this study, we propose a novel method to generalize the smoothed bootstrap
Yi, Kun, Nishiyama, Yoshihiko
core