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» Speeeding Up Markov Chain Monte Carlo Algorithms
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CSDA
2010
208views more  CSDA 2010»
14 years 11 months ago
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...
CSDA
2008
91views more  CSDA 2008»
14 years 11 months ago
Model-based clustering for longitudinal data
A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...
Rolando De la Cruz-Mesía, Fernando A. Quint...
IPPS
2010
IEEE
14 years 9 months ago
Parallelization of DQMC simulation for strongly correlated electron systems
Abstract--Determinant Quantum Monte Carlo (DQMC) simulation has been widely used to reveal macroscopic properties of strong correlated materials. However, parallelization of the DQ...
Che-Rung Lee, I-Hsin Chung, Zhaojun Bai
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SAC
2010
ACM
14 years 6 months ago
Probabilistic relabelling strategies for the label switching problem in Bayesian mixture models
The label switching problem is caused by the likelihood of a Bayesian mixture model being invariant to permutations of the labels. The permutation can change multiple times betwee...
M. Sperrin, Thomas Jaki, E. Wit
TASLP
2002
109views more  TASLP 2002»
14 years 11 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...