Theory and numerical analysis for exact distributions of functionals of a Dirichlet process
By E. Regazzini, A. Guglielmi, Giulia di Nunno. 2002
76 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Mathematical Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/2727738ecb0e11dc4e5eae074927a0ea6b9e217a
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
- Igor Prünster
- Antonio Lijoi
- Lancelot F. James
- Ramsés H. Mena
- Bernard Roynette
- Marc Yor
- S. Favaro
- Bernardo Nipoti
In Mathematical Physics
- Igor Prünster
- Antonio Lijoi
- Lancelot F. James
- Ramsés H. Mena
- Bernard Roynette
- Marc Yor
- Jim Pitman
- Neil O'Connell
In Statistics and Probability
- Antonio Lijoi
- Igor Prünster
- Ramsés H. Mena
- Lancelot F. James
- Bernard Roynette
- Marc Yor
- Jim Pitman
- Neil O'Connell
Citations in the corpus
- Generalized Gamma Convolutions, Dirichlet means, Thorin measures, with explicit examples (2007, methodology): “For this purpose, we use the result of Diaconis and Kemperman [13], see also [42],”
- Bayesian Nonparametric Analysis for a Generalized Dirichlet Process Prior (2005, methodology): “For the Dirichlet case fundamental results have been given in the pioneering works of Cifarelli and Regazzini (1979, 1990) and, more recently, Regazzini et al. (2002) provided a comprehensive treatment of the topic.”