12 search results - page 1 / 3 » The L1-consistency of Dirichlet mixtures in multivariate Bay... |
MA
2010
Springer
13 years 9 months ago
2010
Springer
CSDA
2010
13 years 11 months ago
2010
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...
IJCAI
2007
14 years 9 days ago
2007
Nonparametric Bayesian mixture models, in particular Dirichlet process (DP) mixture models, have shown great promise for density estimation and data clustering. Given the size of ...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Diri...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...