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» On multivariate estimation by thresholding
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DICTA
2009
13 years 10 months ago
Multivariate Skew t Mixture Models: Applications to Fluorescence-Activated Cell Sorting Data
In many applied problems in the context of pattern recognition, the data often involve highly asymmetric observations. Normal mixture models tend to overfit when additional compone...
Kui Wang, Shu-Kay Ng, Geoffrey J. McLachlan
ML
2007
ACM
127views Machine Learning» more  ML 2007»
13 years 8 months ago
Density estimation with stagewise optimization of the empirical risk
We consider multivariate density estimation with identically distributed observations. We study a density estimator which is a convex combination of functions in a dictionary and ...
Jussi Klemelä
ICML
2007
IEEE
14 years 10 months ago
Modeling changing dependency structure in multivariate time series
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
Xiang Xuan, Kevin P. Murphy
VLSID
2005
IEEE
150views VLSI» more  VLSID 2005»
14 years 9 months ago
Multivariate Normal Distribution Based Statistical Timing Analysis Using Global Projection and Local Expansion
This paper employs general multivariate normal distribution to develop a new efficient statistical timing analysis methodology. The paper presents the theoretical framework of the...
Baohua Wang, Pinaki Mazumder
MA
2010
Springer
107views Communications» more  MA 2010»
13 years 7 months ago
The multiple hybrid bootstrap - Resampling multivariate linear processes
The paper reconsiders the autoregressive aided periodogram bootstrap (AAPB) which has been suggested in Kreiß and Paparoditis (2003). Their idea was to combine a time domain param...
Carsten Jentsch, Jens-Peter Kreiss