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CSDA
2008
65views more  CSDA 2008»
13 years 11 months ago
Gaussian processes and limiting linear models
Robert B. Gramacy, Herbert K. H. Lee
CSDA
2008
65views more  CSDA 2008»
13 years 11 months ago
Improving updating rules in multiplicative algorithms for computing D-optimal designs
In this paper we discuss a class of multiplicative algorithms for computing D-optimal designs for regression models on a finite design space. We prove a monotonicity result for a ...
Holger Dette, Andrey Pepelyshev, Anatoly A. Zhiglj...
CSDA
2008
75views more  CSDA 2008»
13 years 11 months ago
Boosting additive models using component-wise P-Splines
Matthias Schmid, Torsten Hothorn
CSDA
2008
80views more  CSDA 2008»
13 years 11 months ago
Variational Bayesian functional PCA
A Bayesian approach to analyze the modes of variation in a set of curves is suggested. It is based on a generative model thus allowing for noisy and sparse observations of curves....
Angelika van der Linde
CSDA
2008
150views more  CSDA 2008»
13 years 11 months ago
Unimodal regression via prefix isotonic regression
This paper gives algorithms for determining real-valued univariate unimodal regressions, that is, for determining the optimal regression which is increasing and then decreasing. S...
Quentin F. Stout
CSDA
2008
108views more  CSDA 2008»
13 years 11 months ago
The random Tukey depth
The computation of the Tukey depth, also called halfspace depth, is very demanding, even in low dimensional spaces, because it requires that all possible one-dimensional projectio...
J. A. Cuesta-Albertos, A. Nieto-Reyes
CSDA
2008
58views more  CSDA 2008»
13 years 11 months ago
A flexible approach to Bayesian multiple curve fitting
Carsten H. Botts, Michael J. Daniels
CSDA
2008
126views more  CSDA 2008»
13 years 11 months ago
A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data
Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required...
Christelle Reynès, Robert Sabatier, Nicolas...
CSDA
2008
56views more  CSDA 2008»
13 years 11 months ago
Semisupervised learning from dissimilarity data
Michael W. Trosset, Carey E. Priebe, Youngser Park...
CSDA
2008
179views more  CSDA 2008»
13 years 11 months ago
A note on adaptive group lasso
Group lasso is a natural extension of lasso and selects variables in a grouped manner. However, group lasso suffers from estimation inefficiency and selection inconsistency. To re...
Hansheng Wang, Chenlei Leng