109 search results - page 9 / 22 » Bayesian Model Selection when the Number of Components is Un... |
PSIVT
2007
Springer
14 years 1 months ago
2007
Springer
This paper considers the problem of Bayesian inference in dynamical models with time-varying dimension. These models have been studied in the context of multiple target tracking pr...
ISOLA
2007
Springer
14 years 1 months ago
2007
Springer
The testing and formal verification of black box software components is a challenging domain. The problem is even harder when specifications of these components are not available...
FLAIRS
2008
13 years 10 months ago
2008
We investigate a simple semi-naive Bayesian ranking method that combines naive Bayes with induction of decision tables. Naive Bayes and decision tables can both be trained efficie...
MA
2010
Springer
13 years 6 months ago
2010
Springer
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
SADM
2010
13 years 2 months ago
2010
: 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...