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MA
2010
Springer
172views Communications» more  MA 2010»
13 years 3 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
BMCBI
2006
115views more  BMCBI 2006»
13 years 5 months ago
Multivariate curve resolution of time course microarray data
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
Peter D. Wentzell, Tobias K. Karakach, Sushmita Ro...
CSDA
2011
12 years 8 months ago
Error rates for multivariate outlier detection
Multivariate outlier identification requires the choice of reliable cut-off points for the robust distances that measure the discrepancy from the fit provided by high-breakdown...
Andrea Cerioli, Alessio Farcomeni
CSDA
2006
117views more  CSDA 2006»
13 years 5 months ago
Exact maximum likelihood estimation of structured or unit root multivariate time series models
TheexactlikelihoodfunctionofaGaussianvectorautoregressive-movingaverage(VARMA)model is evaluated in two nonstandard cases: (a) a parsimonious structured form, such as obtained in ...
Guy Mélard, Roch Roy, Abdessamad Saidi
ECCV
2000
Springer
14 years 7 months ago
Model Based Pose Estimator Using Linear-Programming
Given a ? object and some measurements for points in this object, it is desired to find the ? location of the object. A new model based pose estimator from stereo pairs based on l...
Moshe Ben-Ezra, Shmuel Peleg, Michael Werman