727 search results - page 17 / 146 » On Bayesian model and variable selection using MCMC |
150
Voted
JMLR
2010
14 years 8 months ago
2010
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
113
click to vote
CSB
2002
IEEE
15 years 6 months ago
2002
IEEE
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
BMCBI
2008
15 years 2 months ago
2008
Background: In real-time quantitative PCR studies using absolute plasmid DNA standards, a calibration curve is developed to estimate an unknown DNA concentration. However, potenti...
114
Voted
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
In recent years, there has been a proliferation of theoretical graph models, e.g., preferential attachment and small-world models, motivated by real-world graphs such as the Inter...
UAI
2004
15 years 3 months ago
2004
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...