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MA
2010
Springer
86views Communications» more  MA 2010»
13 years 5 months ago
Tests for multiple regression based on simplicial depth
A general approach for developing distribution free tests for general linear models based on simplicial depth is applied to multiple regression. The tests are based on the asympto...
Robin Wellmann, Christine H. Müller
CSDA
2007
110views more  CSDA 2007»
13 years 7 months ago
Bayesian modelling strategies for spatially varying regression coefficients: A multivariate perspective for multiple outcomes
This paper considers modelling spatially varying regression effects for multivariate mortality count outcomes. Alternative approaches to spatial regression heterogeneity are consi...
P. Congdon
NIPS
2008
13 years 8 months ago
High-dimensional support union recovery in multivariate regression
We study the behavior of block 1/ 2 regularization for multivariate regression, where a K-dimensional response vector is regressed upon a fixed set of p covariates. The problem of...
Guillaume Obozinski, Martin J. Wainwright, Michael...
SDM
2004
SIAM
242views Data Mining» more  SDM 2004»
13 years 8 months ago
Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification
Multivariate statistical analysis is an important data analysis technique that has found applications in various areas. In this paper, we study some multivariate statistical analy...
Wenliang Du, Yunghsiang S. Han, Shigang Chen
ESEM
2008
ACM
13 years 9 months ago
Fit data selection for software effort estimation models
To construct a better multivariate regression model for software effort estimation, this paper proposes a method to select projects as a fit data from a given project data set bas...
Koji Toda, Akito Monden, Ken-ichi Matsumoto