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CSDA
2007
99views more  CSDA 2007»
13 years 11 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
92views more  CSDA 2007»
13 years 11 months ago
On the estimation of the linear relation when the error variances are known
The problem of consistent estimation in measurement error models in a linear relation with not necessarily normally distributed measurement errors is considered. Three possible es...
H. Schneeweiss, H. Shalabh
CSDA
2007
75views more  CSDA 2007»
13 years 11 months ago
Level choice in truncated total least squares
Diana M. Sima, Sabine Van Huffel
CSDA
2007
105views more  CSDA 2007»
13 years 11 months ago
Cobra: A package for co-breaking analysis
Michael Massmann
CSDA
2007
115views more  CSDA 2007»
13 years 11 months ago
Algorithms for compact letter displays: Comparison and evaluation
Multiple pairwise comparisons are one of the most frequent tasks in applied statistics. In this context, letter displays may be used for a compact presentation of results of multi...
Jens Gramm, Jiong Guo, Falk Hüffner, Rolf Nie...
CSDA
2007
69views more  CSDA 2007»
13 years 11 months ago
Algorithms and applications for approximate nonnegative matrix factorization
Michael W. Berry, Murray Browne, Amy Nicole Langvi...
CSDA
2007
120views more  CSDA 2007»
13 years 11 months ago
Boosting ridge regression
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approac...
Gerhard Tutz, Harald Binder
CSDA
2007
81views more  CSDA 2007»
13 years 11 months ago
A stochastic EM algorithm for a semiparametric mixture model
Recently, there has been a considerable interest in finite mixture models with semi-/non-parametric component distributions. Identifiability of such model parameters is generall...
Laurent Bordes, Didier Chauveau, Pierre Vandekerkh...