Pitman-yor Process
The Pitman-Yor Process is a stochastic process in Bayesian nonparametrics that generalizes the Dirichlet process by introducing an additional discount parameter to control the power-law behavior of cluster sizes, thereby allowing more flexible modeling of heavy-tailed distributions.
87
Publications
3.7K
Citations
172
Authors
114
Institutions
Publications per year
2017–2026
16
87
The standard additive coalescent
David Aldous, Jim Pitman · The Annals of Probability · 1998 · 155 citations · Full text
1–5 of 87
172
6
h-index
5
h-index
4
h-index
3
h-index
3
h-index
1–5 of 172
114
University of Oxford
Oxford, United Kingdom
7 h-index
12 publications
314 citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
8 publications
238 citations
University College London
London, United Kingdom
5 h-index
11 publications
674 citations
Columbia University
New York, United States
4 h-index
6 publications
197 citations
University of Utah
Salt Lake City, United States
3 h-index
3 publications
69 citations
Oxford Centre for Computational Neuroscience
Oxford, United Kingdom
3 h-index
4 publications
163 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
3 publications
63 citations
Denso (Japan)
Kariya, Japan
3 h-index
10 publications
320 citations
1–8 of 114
TPAMI · 6 publications · 333 citations
6
h-index
Repository · 5 publications · 146 citations
5
h-index
3 publications · 57 citations
3
h-index
2 publications · 57 citations
2
h-index
ECP · 2 publications · 22 citations
2
h-index
1–5