65 search results - page 4 / 13 » Bayesian system identification via Markov chain Monte Carlo ... |
CSDA
2010
13 years 6 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...
CSDA
2008
13 years 6 months ago
2008
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...
IVC
2008
13 years 5 months ago
2008
Reversible jump Markov chain Monte Carlo (RJMCMC) is a recent method which makes it possible to construct reversible Markov chain samplers that jump between parameter subspaces of...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
In this paper, we develop a neurobiologicallymotivated statistical method for video analysis that simultaneously searches the combined motion and form space in a concerted and efï...
AMAI
2004
Springer
13 years 11 months ago
2004
Springer
Bayesian Model Averaging (BMA) is well known for improving predictive accuracy by averaging inferences over all models in the model space. However, Markov chain Monte Carlo (MCMC)...