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SADM
2010
141views more  SADM 2010»
14 years 4 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
CAV
2007
Springer
108views Hardware» more  CAV 2007»
15 years 1 months ago
Parametric and Sliced Causality
Abstract. Happen-before causal partial orders have been widely used in concurrent program verification and testing. This paper presents a parametric approach to happen-before causa...
Feng Chen, Grigore Rosu
MA
2010
Springer
143views Communications» more  MA 2010»
14 years 8 months ago
The pairwise beta distribution: A flexible parametric multivariate model for extremes
We present a new parametric model for the angular measure of a multivariate extreme value distribution. Unlike many parametric models that are limited to the bivariate case, the ļ...
Daniel Cooley, Richard A. Davis, Philippe Naveau
ISCAS
2011
IEEE
194views Hardware» more  ISCAS 2011»
14 years 1 months ago
Bifurcation and basin in two coupled parametrically forced logistic maps
— Two coupled logistic maps whose parameters are forced into periodic varying are investigated. From the investigation of bifurcation in this system, nonexistence of odd periodic...
Hironori Kumeno, Yoshifumi Nishio, Daniele Fournie...
IJON
1998
87views more  IJON 1998»
14 years 9 months ago
Learned parametric mixture based ICA algorithm
The learned parametric mixture method is presented for a canonical cost function based ICA model on linear mixture, with several new findings. First, its adaptive algorithm is fu...
Lei Xu, Chi Chiu Cheung, Shun-ichi Amari