Results 91 to 100 of about 284,254 (315)

Nonparametric Expectile Shortfall Regression for Complex Functional Structure

open access: yesEntropy
This paper treats the problem of risk management through a new conditional expected shortfall function. The new risk metric is defined by the expectile as the shortfall threshold.
Mohammed B. Alamari   +3 more
doaj   +1 more source

Western Diet Inhibits FUT7‐Mediated Treg Intestinal Homing to Disrupt the Homeostasis of Intestinal Epithelial Cells in Crohn's Disease

open access: yesAdvanced Science, EarlyView.
In this study, we constructed a nanoparticle that was CD4 antibody‐mediated targeted, Fut7‐expressing plasmid‐loaded cationic liposome, namely CD4‐LDP‐Fut7. Upregulation of Fut7 expression in Tregs by using CD4‐LDP‐Fut7 can increase Treg homing to the intestine, thereby facilitating repair of the intestinal epithelial barrier and inhibiting ...
Qian Zhou   +13 more
wiley   +1 more source

npbr: A Package for Nonparametric Boundary Regression in R

open access: yesJournal of Statistical Software, 2017
The package npbr is the first free specialized software for data edge and frontier analysis in the statistical literature. It provides a variety of functions for the best known and most innovative approaches to nonparametric boundary estimation.
Abdelaati Daouia   +2 more
doaj   +1 more source

Nonparametric Instrumental Regression [PDF]

open access: yes, 2002
The focus of the paper is the nonparametric estimation of an instrumental regression function P defined by conditional moment restrictions stemming from a structural econometric model : E[Y-P(Z)|W]=0 and involving endogenous variables Y and Z and ...
DAROLLES, Serge   +2 more
core   +2 more sources

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

open access: yesAdvanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu   +7 more
wiley   +1 more source

Broadcasted nonparametric tensor regression

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology
Abstract We propose a novel use of a broadcasting operation, which distributes univariate functions to all entries of the tensor covariate, to model the nonlinearity in tensor regression nonparametrically. A penalized estimation and the corresponding algorithm are proposed.
Ya Zhou, Raymond K W Wong, Kejun He
openaire   +2 more sources

Nonparametric Specification Testing for Nonlinear Time Series with Nonstationarity [PDF]

open access: yes
This paper considers a nonparametric time series regression model with a nonstationary regressor. We construct a nonparametric test for testing whether the regression is of a known parametric form indexed by a vector of unknown parameters.
Dag Tjøstheim   +3 more
core  

Adaptive Nonparametric Regression on Spin Fiber Bundles [PDF]

open access: yes, 2010
The construction of adaptive nonparametric procedures by means of wavelet thresholding techniques is now a classical topic in modern mathematical statistics.
Durastanti, Claudio   +2 more
core  

The KDM6B/SLC10A2 Axis Suppresses MDSCs Recruitment via ERK/AP‐1 Signaling in Colorectal Cancer

open access: yesAdvanced Science, EarlyView.
In wild‐type intestinal epithelial cells, KDM6B demethylates SLC10A2 to promote its expression, after which SLC10A2 suppresses ERK phosphorylation, inhibiting AP‐1 (Fos/Jun) transcription and chemokine production. In KDM6B‐deficient intestinal epithelial cells, SLC10A2 methylation increases, and its expression decreases.
Zhibo Hu   +16 more
wiley   +1 more source

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