Mixtures of products of Dirichlet processes for variable selection in survival analysis
By Paolo Giudici, M. Mezzetti, P. Muliere. 2003
55 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Genetics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/cd34418db8209ec14baf1932945333ae259aaa4d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- David B. Dunson
- Mark F. J. Steel
- Jim E. Griffin
- Fernando A. Quintana
- Natesh S. Pillai
- Juhyun Park
- Lawrence Carin
- Gary Rosner
In Genetics
In Statistics and Probability
- David B. Dunson
- Jim E. Griffin
- Mark F. J. Steel
- Fernando A. Quintana
- Natesh S. Pillai
- Juhyun Park
- Gary Rosner
- Peter Müller
Citations in the corpus
- A method for combining inference across related nonparametric Bayesian models (2004, methodology): “Similar models are discussed in Mira and Petrone (1996), Giudici et al. (2003) and Carota and Parmigiani (2002).”
- Bayesian density regression (2007, methodology): “Related approaches have been considered by Muliere and Petrone (1993), Mira and Petrone (1996), Giudici et al. (2003) and Griffin and Steel (2004).”
- Order-Based Dependent Dirichlet Processes (2006, background): “fin and Steel 2004) and survival analysis ( Guidici et al. 2003 ) and a similar idea was proposed in Mallick and Walker (1997).”