Results 91 to 100 of about 607,794 (304)

Feasible Multivariate Nonparametric Estimation Using Weak Separability [PDF]

open access: yes
One of the main practical problems of nonparametric regression estimation is the curse of dimensionality. The curse of dimensionality arises because nonparametric regression estimates are dependent variable averages local to the point at which the ...
Joris Pinkse
core  

Estimation of Nonparametric Conditional Moment Models with Possibly Nonsmooth Moments [PDF]

open access: yes
This paper studies nonparametric estimation of conditional moment models in which the residual functions could be nonsmooth with respect to the unknown functions of endogenous variables.
Demian Pouzo, Xiaohong Chen
core   +2 more sources

Trafficking Deficiency of TMEM175 Variants in Parkinson's Disease Pathogenesis and the Prospects of Precision Medicine

open access: yesAdvanced Science, EarlyView.
This study identifies that the PD‐associated TMEM175‐L156P variant disrupts lysosomal ion channel trafficking by causing aberrant endoplasmic reticulum retention. A “chaperone–agonist” bifunctional small molecule restores TMEM175‐L156P lysosomal localization and channel function, thereby alleviating PD‐relevant cellular phenotypes and highlighting a ...
Ting Luo   +17 more
wiley   +1 more source

Robustness analysis and convergence of empirical finite-time ruin probabilities and estimation risk solvency margin. [PDF]

open access: yes
We consider the classical risk model and carry out a sensitivity and robustness analysis of finite-time ruin probabilities. We provide algorithms to compute the related influence functions.
Stéphane Loisel   +2 more
core  

Gαi1/3 Are Essential for BMP2‐Induced Osteogenesis by Bridging BMP Receptors to the Gab1 Signaling Complex

open access: yesAdvanced Science, EarlyView.
The Gαi1/3 protein is a crucial connecting protein closely related to the signal transduction process of bone formation‐related cytokines such as BMP2. Gαi1/3 mediates downstream signaling pathways such as Smads and MAPK by binding to adaptor proteins like Gab1, thereby promoting the osteogenic effect of BMSCs.
Huajian Shan   +10 more
wiley   +1 more source

POINTWISE UNIVERSAL CONSISTENCY OF NONPARAMETRIC LINEAR ESTIMATORS [PDF]

open access: yes
This paper presents sufficient conditions for pointwise universal consistency of nonparametric delta estimators. We show the applicability of these conditions for some classes of nonparametric estimators.
Jose M. Vidal-Sanz
core  

SDF‐1 Attenuates Oocyte Quality Decline During Reproductive Aging Through Autophagy‐Enhanced Stress Granule Scavenging

open access: yesAdvanced Science, EarlyView.
SDF‐1 levels decline significantly with maternal aging. Exogenous supplementation restores meiotic spindle morphology, chromosomal alignment, and mitochondrial function while reducing oxidative stress in aged oocytes. Mechanistically, SDF‐1 enhances autophagic activity to clear accumulated stress granules, thereby rescuing fertilization competence and ...
Rui Long   +12 more
wiley   +1 more source

Nonparametric Econometrics: The np Package [PDF]

open access: yes
We describe the R np package via a series of applications that may be of interest to applied econometricians. The np package implements a variety of nonparametric and semiparametric kernel-based estimators that are popular among econometricians.
Tristen Hayfield, Jeffrey S. Racine
core  

Loss of SHP1 in Spinal Astrocytes Triggers T‐Lymphocyte Infiltration and Nociceptive Hypersensitivity

open access: yesAdvanced Science, EarlyView.
Astrocyte‐specific SHP1 deletion disrupts astrocyte–vascular interactions and compromises BBB integrity while enhancing STAT1‐dependent CXCL10 expression. These changes synergistically promote peripheral CD4+ and CD8+ T‐cell infiltration into the SDH. The infiltrating T cells secrete IFN‐γ, which in turn activates microglia.
Lan‐Xing Yi   +7 more
wiley   +1 more source

Robust Estimation and Inference for Semiparametric and Nonparametric Regression Models

open access: yesMathematics
Parametric regression methods are efficient when correctly specified but are sensitive to model misspecification and outliers. Nonparametric regression offers greater flexibility at the cost of reduced interpretability and susceptibility to the curse of ...
Hamdy F. F. Mahmoud   +2 more
doaj   +1 more source

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