A New Approach to Variable Selection Using the TLS Approach

The problem of variable selection is one of the most important model selection problems in statistical applications. It is also known as the subset selection problem and arises when one wants to explain the observations or data adequately by a subset of possible explanatory variables. The objective...

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Veröffentlicht in:	IEEE transactions on signal processing 2007-01, Vol.55 (1), p.10-19
Hauptverfasser:	Fuchs, J.-J., Maria, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Computer Science Context modeling Engineering Sciences Errors Exact sciences and technology Gaussian Gaussian noise Image Processing Information theory Information, signal and communications theory Input variables Least squares (LS) problem Least squares methods Linear regression Mathematical models matrix perturbation Measurement errors Noise Reduction Regression Signal and Image Processing Signal processing Statistics stepwise regression Student test subset selection Telecommunications and information theory Testing total least squares (TLS) problem Vectors
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