Results 101 to 110 of about 411,514 (294)
We establish the first nonasymptotic error bounds for Kaplan-Meier-based nearest neighbor and kernel survival probability estimators where feature vectors reside in metric spaces.
Chen, George H.
core
On Bootstrapping Kernel Spectral Estimates
This paper considers the problem of determining the statistical characteristics (such as probability distribution and confidence limits) of a kernel spectral density estimator, by using the bootstrap approach. A simple and natural bootstrapping scheme based on resampling the data periodogram ordinates (appropriately normalized) is introduced.
Franke, J., Hardle, W.
openaire +2 more sources
Here, we present a nanotechnology approach to construct synthetic lipid rafts on the live T cell membrane, leveraging a versatile DNA origami‐enabled platform named as the “cholesterol nano‐patch” (CNP). Our investigation highlights the effectiveness of DNA nanotechnology in exploring the impact of nanoscale arrangement of cholesterols on the ...
Yunmin Jung +4 more
wiley +1 more source
Kernel Estimation of Cumulative Residual Tsallis Entropy and Its Dynamic Version under ρ-Mixing Dependent Data. [PDF]
Irshad MR +3 more
europepmc +1 more source
Intraday Seasonality in Analysis of UHF Financial Data: Models and Their Empirical Verification [PDF]
The aim of this paper is to outline the typical characteristics of the ultra-high-frequency financial data and to present estimation methods of intraday seasonality of trading activity.
Roman Huptas
core
Loading Mode Dependence of Twin‐Twin Boundary Formation in a Textured Magnesium Alloy
The structures of twin‐twin boundaries formed by interactions between twin variants sharing the same or different zone axes in a deformed magnesium alloy are demonstrated. Lattice distortion around complicated interfaces promotes grain refinement in the subsequent thermomechanical process, enhancing the mechanical performance of magnesium alloys ...
Yuzhi Zhu +7 more
wiley +1 more source
Dimensionality reduction in kernel-based identification of Wiener system by cyclostationary excitations [PDF]
The topic of nonparametric estimation of nonlinear characteristics in the Wiener system is examined. In this regard, the traditional kernel algorithm faces difficulties stemming from the dimensionality associated with the memory length of the dynamic ...
Gabriel Maik, Grzegorz Mzyk
doaj +1 more source
Blur Kernel Estimation and Non-Blind Super-Resolution for Power Equipment Infrared Images by Compressed Sensing and Adaptive Regularization. [PDF]
Zhao H, Liu B, Wang L.
europepmc +1 more source
The Hilbert Kernel Regression Estimate
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Devroye, Luc +2 more
openaire +1 more source
SAA significantly enhanced Al/PU bonding, increasing SLSS by up to 920% and fracture energy by 15 100% through optimized micro‐nano porous surfaces. RSM identified the optimal anodizing conditions, while ML confirmed sulfuric acid concentration and roughness as dominant predictors of strength.
Umut Bakhbergen +6 more
wiley +1 more source

