Results 101 to 110 of about 284,254 (315)
Application of nonparametric regression in predicting traffic incident duration
Transport, 2018 Predicting the duration time of incidents is important for effective real-time Traffic Incident Management (TIM). In the current study, the k-Nearest Neighbor (kNN) algorithm is employed as a nonparametric regression approach to develop a traffic ...
Shi Wang, Ruimin Li, Min Guo
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Estimation in nonparametric regression model with additive and multiplicative noise via Laguerre series [PDF]
, 2021 Rida Benhaddou
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Nonparametric Censored and Truncated Regression [PDF]
The nonparametric censored regression model, with a fixed, known censoring point (normalized to zero), is y = max[0,m(x) + e], where both the regression function m(x) and the distribution of the error e are unknown. This paper provides estimators of m(x)
Arthur Lewbel, Oliver Linton
core
Advanced Science, EarlyView.This study identifies OCIAD2 as a critical regulator of cisplatin resistance in HNSCC. Mechanistically, OCIAD2 stabilizes integrin β1 through a direct physical interaction and facilitates its SNX17‐dependent endosomal recycling to lipid raft microdomains. Targeting OCIAD2 disrupts integrin β1 trafficking and significantly enhances cisplatin sensitivity,
Li Cui +9 more
wiley +1 more source
Spline Estimator in Multi-Response Nonparametric Regression Model
Jurnal Ilmu Dasar, 2010 In many applications two or more dependent variables are observed at several values of the independent variables, such as at time points. The statistical problems are to estimate functions that model their dependences on the independent variables, and to
Budi Lestari +3 more
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Mixture of Regression Models with Single-Index
, 2016 In this article, we propose a class of semiparametric mixture regression models with single-index. We argue that many recently proposed semiparametric/nonparametric mixture regression models can be considered special cases of the proposed model. However,
Xiang, Sijia, Yao, Weixin
core
Advanced Science, EarlyView.This schematic integrates the eight statistically significant causal relationships identified between 1,366 brain imaging‐derived phenotypes (IDPs) and 18 autoimmune inflammatory diseases (AIDs). Arrows indicate the direction of causality inferred from bidirectional two‐sample MR analyses.
Jinbin Chen +8 more
wiley +1 more source
Testing Heteroscedasticity in Nonparametric Regression Based on Trend Analysis
Journal of Applied Mathematics, 2014 We first propose in this paper a new test method for detecting heteroscedasticity of the error term in nonparametric regression. Some simulation experiments are then conducted to evaluate the performance of the proposed methodology. A real-world data set
Si-Lian Shen +2 more
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Bandwidth Selection in Nonparametric Regression with Large Sample Size
Proceedings, 2018 In the context of nonparametric regression estimation, the behaviour of kernel methods such as the Nadaraya-Watson or local linear estimators is heavily influenced by the value of the bandwidth parameter, which determines the trade-off between bias and ...
Daniel Barreiro-Ures +2 more
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