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55
Voted
CSDA
2008
60views more  CSDA 2008»
15 years 21 days ago
The out-of-sample problem for classical multidimensional scaling
Michael W. Trosset, Carey E. Priebe
61
Voted
CSDA
2008
71views more  CSDA 2008»
15 years 21 days ago
On the estimation of a large sparse Bayesian system: The Snaer program
Dmitry Danilov, Jan R. Magnus
95
Voted
CSDA
2008
116views more  CSDA 2008»
15 years 21 days ago
High-dimensional data visualisation: The textile plot
The textile plot is a parallel coordinate plot in which the ordering, locations and scales of the axes are simultaneously chosen so that the connecting lines, each of which repres...
Natsuhiko Kumasaka, Ritei Shibata
79
Voted
CSDA
2008
56views more  CSDA 2008»
15 years 21 days ago
Robust designs for series estimation
We discuss optimal design problems for a popular method of series estimation in regression problems. Commonly used design criteria are based on the generalized variance of the est...
Holger Dette, Douglas P. Wiens
54
Voted
CSDA
2008
55views more  CSDA 2008»
15 years 21 days ago
Sampling Archimedean copulas
Marius Hofert
96
Voted
CSDA
2008
111views more  CSDA 2008»
15 years 21 days ago
Automatic bandwidth selection for circular density estimation
Given angular data 1, . . . , n [0, 2) a common objective is to estimate the density. In the case that a kernel estimator is used, bandwidth selection is crucial to the performan...
Charles C. Taylor
65
Voted
CSDA
2008
82views more  CSDA 2008»
15 years 21 days ago
Assessing influence in Gaussian long-memory models
A statistical methodology for detecting influential observations in long-memory models is proposed. The identification of these influential points is carried out by case-deletion ...
Wilfredo Palma, Pascal Bondon, José Tapia
CSDA
2008
94views more  CSDA 2008»
15 years 21 days ago
Robust model selection using fast and robust bootstrap
Robust model selection procedures control the undue influence that outliers can have on the selection criteria by using both robust point estimators and a bounded loss function wh...
Matias Salibian-Barrera, Stefan Van Aelst