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» Distributed multivariate regression based on influential obs...
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CSDA
2006
95views more  CSDA 2006»
13 years 3 months ago
Identifying influential multinomial observations by perturbation
The assessment of the influence of individual observations on the outcome of the analysis by perturbation has received a lot of attention for situations in which the observations ...
S. O. Nyangoma, W.-K. Fung, R. C. Jansen
MA
2010
Springer
172views Communications» more  MA 2010»
13 years 2 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert
DIS
2001
Springer
13 years 8 months ago
Functional Trees
In the context of classification problems, algorithms that generate multivariate trees are able to explore multiple representation languages by using decision tests based on a com...
Joao Gama
NIPS
2007
13 years 5 months ago
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....