scholarly journals Regression function estimation from dependent observations

1991 ◽  
Vol 36 (2) ◽  
pp. 263-279 ◽  
Author(s):  
Prabir Burman
Keyword(s):  
Regression Function ◽  
Function Estimation ◽  
Dependent Observations

Regression Function Estimation Using Spline Wavelets

2005 ◽  
Vol 34 (4) ◽  
pp. 823-832
Author(s):  
Md. KAMAL UDDIN ◽  
U. V. NAIK-NIMBALKAR
Keyword(s):  
Regression Function ◽  
Function Estimation ◽  
Spline Wavelets

Fully Nonparametric Regression Estimation Based on Empirical Mode Decomposition

2012 ◽  
Vol 271-272 ◽  
pp. 932-935
Author(s):  
Hong Ying Hu ◽  
Wen Long Li ◽  
Feng Qiang Zhao
Keyword(s):  
Empirical Mode Decomposition ◽  
Wavelet Decomposition ◽  
Estimation Method ◽  
Regression Function ◽  
Regression Estimation ◽  
Function Estimation ◽  
Wavelet Regression ◽  
Nonparametric Regression Estimation ◽  
Mode Decomposition ◽  
Non Stationary Signal

Empirical Mode Decomposition (EMD) is a non-stationary signal processing method developed recently. It has been applied in many engineering fields. EMD has many similarities with wavelet decomposition. But EMD Decomposition has its own characteristics, especially in accurate trend extracting. Therefore the paper firstly proposes an algorithm of extracting slow-varying trend based on EMD. Then, according to wavelet regression estimation method, a new regression function estimation method based on EMD is presented. The simulation proves the advantages of the approach with easy computation and more accurate result.

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