The Matrix Stick-Breaking Process

By David B. Dunson, Ya Xue, Lawrence Carin. 2008

47 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Geometry and Topology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/a7f27da5049fd53cb899f78cdf7d8d13c2f87c61

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

1. David B. Dunson
2. Igor Prünster
3. Antonio Lijoi
4. S. Favaro
5. Abel Rodríguez
6. Alan E. Gelfand
7. Michele Guindani
8. Sonia Petrone

In Geometry and Topology

1. Igor Prünster
2. Alan E. Gelfand
3. Antonio Lijoi
4. David B. Dunson

In Statistics and Probability

1. David B. Dunson
2. Abel Rodríguez
3. Alan E. Gelfand
4. S. Favaro
5. Antonio Lijoi
6. Igor Prünster
7. Michele Guindani
8. Sonia Petrone

Citations in the corpus

• The Nested Dirichlet Process (2008, background): “We note that the standard DP also induces global clustering, motivating a new literature on local partition processes (Dunson, Xue, and Carin 2008; Petrone, Guindani, and Gelfand 2008; Dunson 2008).”
• On the stick-breaking representation of normalized inverse Gaussian priors (2012, background): “Important contributions to this area include, among others, [3, 4, 5, 6, 10, 11, 27].”
• Hybrid Dirichlet mixture models for functional data (2009, background): “Recent proposals of multiple-p stick breaking priors (see for example Griffin and Steel (2006), Dunson and Park (2008) and Dunson et al. (2008) ) allow for a more general dependence structure across the groups’ random marginal distributions.”