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Non-Parametric Regression Method

Known as: Nonparametric Regression Method 
Non-parametric regression methods are aimed at describing a relationship between the dependent and independent variables without specifying the form… Expand
National Institutes of Health

Papers overview

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2017
2017
Multivariate wavelet kernel regression method
The purpose of this paper is to introduce a new penalized multivariate nonparametric regression method, in the framework of… Expand
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2013
2013
Reducing Poisson noise and baseline drift in X-ray spectral images with bootstrap Poisson regression and robust nonparametric regression.
X-ray spectral imaging provides quantitative imaging of trace elements in a biological sample with high sensitivity. We propose a… Expand
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2012
2012
Implementing short-term traffic flow forecasting based on multipoint WPRA with MapReduce
  • Shuangshuang Li
  • Proceedings of IEEE/ASME 8th IEEE/ASME…
  • 2012
    • Corpus ID: 14275781
The multipoint short-term traffic flow forecasting should deal with mass of historical traffic flow data from intersections in an… Expand
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2012
2012
Three essays on estimation and testing of nonparametric models
Three Essays on Estimation and Testing of Nonparametric Models. (August 2012 ) Guangyi Ma, B.A., Harbin Institute of Technology… Expand
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2011
2011
Response surface methods based on analysis of variance expansion for sensitivity analysis
The purpose of this thesis is to investigate innovative response surface methods to address the problem of sensitivity analysis… Expand
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2011
2011
Méthodes de surface de réponse basées sur la décomposition de la variance fonctionnelle et application à l'analyse de sensibilité
L'objectif de cette these est l'investigation de nouvelles methodes de surface de reponse afin de realiser l'analyse de… Expand
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Highly Cited
2011
Highly Cited
2011
The function of the left anterior temporal pole: evidence from acute stroke and infarct volume
The role of the anterior temporal lobes in cognition and language has been much debated in the literature over the last few years… Expand
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2008
2008
Nonparametric surface regression for strain estimation
Ultrasonic strain imaging usually involves applying some form of smoothing filter to estimate gradients (corresponding to strains… Expand
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Highly Cited
2005
Highly Cited
2005
A spatially adaptive nonparametric regression image deblurring
We propose a novel nonparametric regression method for deblurring noisy images. The method is based on the local polynomial… Expand
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2005
2005
Testing equality of two functions using BARS.
This article presents two methods of testing the hypothesis of equality of two functions H(0):f(1)(t)=f(2)(t) for all t, in a… Expand
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