Results 71 to 80 of about 2,481,616 (299)

Estimating a convex function in nonparametric regression [PDF]

open access: yes
A new nonparametric estimate of a convex regression function is proposed and its stochastic properties are studied. The method starts with an unconstrained estimate of the derivative of the regression function, which is firstly isotonized and then ...
Dette, Holger, Birke, Melanie
core  

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

Testing strict monotonicity in nonparametric regression [PDF]

open access: yes
A new test for strict monotonicity of the regression function is proposed which is based on a composition of an estimate of the inverse of the regression function with a common regression estimate. This composition is equal to the identity if and only if
Dette, Holger, Birke, Melanie
core  

Nonparametric and semiparametric methods for economic research [PDF]

open access: yes, 1992
Developments in the vast and growing literatures on nonparametric and semiparametric statistical estimation are reviewed. The emphasis is on useful methodology rather than statistical properties for their own sake. Some empirical applications to economic
Robinson, Peter M., Delgado, Miguel A.
core  

Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study [PDF]

open access: yesJournal of Statistical Software, 2001
Wavelet analysis has been found to be a powerful tool for the nonparametric estimation of spatially-variable objects. We discuss in detail wavelet methods in nonparametric regression, where the data are modelled as observations of a signal contaminated ...
Theofanis Sapatinas   +2 more
doaj   +2 more sources

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

Imposing Economic Constraints in Nonparametric Regression: Survey, Implementation and Extension [PDF]

open access: yes
Economic conditions such as convexity, homogeneity, homotheticity, and monotonicity are all important assumptions or consequences of assumptions of economic functionals to be estimated.
Parmeter, Christopher F.   +1 more
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

Monte Carlo Pricing of American Options Using Nonparametric Regression [PDF]

open access: yes
This paper provides an introduction to Monte Carlo algorithms for pricing American options written on multiple assets, with special emphasis on methods that can be applied in a multi-dimensional setting.
Pizzi Claudio, Pellizzari Paolo
core  

Comparative analysis for traffic flow forecasting models with real-life data in Beijing

open access: yesAdvances in Mechanical Engineering, 2015
Rational traffic flow forecasting is essential to the development of advanced intelligent transportation systems. Most existing research focuses on methodologies to improve prediction accuracy.
Yaping Rong   +5 more
doaj   +1 more source

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