Transformation kernel density estimation of actuarial loss functions
, 2013 [cat] Es presenta un estimador nucli transformat que és adequat per a distribucions de cua pesada. Utilitzant una transformació basada en la distribució de probabilitat Beta l’elecció del paràmetre de finestra és molt directa. Es presenta una aplicació a
Guillén, Montserrat +2 more
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Advanced Science, EarlyView.A tri‐phase Ni2CoFeV medium‐entropy alloy with fcc, κ, and L12 phases achieves exceptional cryogenic strength‐ductility synergy at 77 K. It delivers a yield strength of 1.4 GPa, an ultimate tensile strength of 2.07 GPa and a tensile ductility of 28%.
Lei Gu +4 more
wiley +1 more source
A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation. [PDF]
Multivariate kernel regression is an important tool for investigating the relationship between a response and a set of explanatory variables. It is generally accepted that the performance of a kernel regression estimator largely depends on the choice of ...
Robert D. Brooks +2 more
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Kernel smoothing & permutation test R script
, 2016 Custom-made R script to perform kernel smoothing and permutation ...
Bruneaux, Matthieu +13 more
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Inhibitory Decay and Supercritical Brain Dynamics During Sleep Deprivation
Advanced Science, EarlyView.Sleep deprivation progressively shifts human brain dynamics from near‐critical toward supercritical states, as revealed by neuronal avalanche analysis of resting‐state fMRI. These changes track subjective sleep pressure rather than vigilance lapses and show marked network heterogeneity. A circuit model suggests that reduced inhibitory efficacy provides
Dai Zhang +6 more
wiley +1 more source
Variance analysis for kernel smoothing of a varying-coefficient model with longitudinal data [PDF]
, 2009 We consider the estimation of the k + 1-dimensional nonparametric component (t) of the varying-coefficient model Y (t) = XT (t)(t) + "(t) based on longitudinal observation (Yij ,Xi(tij), tij), i = 1, ..., n, j = 1, ..., ni, where tij is the jth observed ...
NC DOCKS at The University of North Carolina Wilmington +1 more
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A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces
Advanced Science, EarlyView.A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren +5 more
wiley +1 more source
Estimating Semiparametric ARCH (8) Models by Kernel Smoothing Methods [PDF]
We investigate a class of semiparametric ARCH(8) models that includes as a special case the partially nonparametric (PNP) model introduced by Engle and Ng (1993) and which allows for both flexible dynamics and flexible function form with regard to the ...
Enno Mammen, Oliver Linton
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A kernel smoothing algorithm for ablation visualization in ultrasound elastography. [PDF]
Ultrasonics, 2019 Ingle AN, Varghese T.
europepmc +1 more source
Compact Tabletop Magnetic Resonance Elastography for Mapping Soft Tissue Viscoelasticity
Advanced Science, EarlyView.This work introduces a compact, low‐cost tabletop magnetic resonance elastography platform for high‐resolution viscoelastic mapping in soft‐tissue specimens. Using this method in human colorectal liver metastases, we demonstrate fully automated biomechanical profiling of treatment response and show that heterogeneity‐based metrics outperform ...
Weijie Zhao +19 more
wiley +1 more source