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CSDA
2007
99views more  CSDA 2007»
13 years 9 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar
CSDA
2007
58views more  CSDA 2007»
13 years 9 months ago
A unifying model involving a categorical and/or dimensional reduction for multimode data
A unifying model is presented that implies a categorical and/or dimensional reduction of one or several modes of a multiway data set. The model encompasses a broad range of (exist...
Iven Van Mechelen, Jan Schepers
CSDA
2007
105views more  CSDA 2007»
13 years 9 months ago
GSA-based maximum likelihood estimation for threshold vector error correction model
The log-likelihood function of threshold vector error correction models is neither differentiable, nor smooth with respect to some parameters. Therefore, it is very difficult to ...
Zheng Yang, Zheng Tian, Zixia Yuan
CSDA
2007
109views more  CSDA 2007»
13 years 9 months ago
Improving the computation of censored quantile regressions
Abstract. Censored quantile regressions (CQR) are a valuable tool in economics and engineering. The computation of estimators is highly complex and the performance of standard meth...
Bernd Fitzenberger, Peter Winker
CSDA
2007
96views more  CSDA 2007»
13 years 9 months ago
On a quadratic eigenproblem occurring in regularized total least squares
In a recent paper Sima, Van Huffel and Golub [Regularized total least squares based on quadratic eigenvalue problem solvers. BIT Numerical Mathematics 44, 793 - 812 (2004)] sugges...
J. Lampe, H. Voss