ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1503.00163
  4. Cited By
Are Gibbs-type priors the most natural generalization of the Dirichlet
  process?

Are Gibbs-type priors the most natural generalization of the Dirichlet process?

28 February 2015
P. De Blasi
Stefano Favaro
Antonio Lijoi
R. H. Mena
Igor Prunster
M. Ruggiero
ArXiv (abs)PDFHTML

Papers citing "Are Gibbs-type priors the most natural generalization of the Dirichlet process?"

22 / 22 papers shown
Title
Nonparametric priors with full-range borrowing of information
Nonparametric priors with full-range borrowing of information
Filippo Ascolani
Beatrice Franzolini
Antonio Lijoi
Igor Prunster
70
4
0
01 Oct 2023
Bayesian mixture models (in)consistency for the number of clusters
Bayesian mixture models (in)consistency for the number of clusters
Louise Alamichel
D. Bystrova
Julyan Arbel
Guillaume Kon Kam King
210
6
0
25 Oct 2022
Bayesian Nonparametric Inference for "Species-sampling" Problems
Bayesian Nonparametric Inference for "Species-sampling" Problems
Cecilia Balocchi
Stefano Favaro
Zacharie Naulet
53
7
0
11 Mar 2022
Why the Rich Get Richer? On the Balancedness of Random Partition Models
Why the Rich Get Richer? On the Balancedness of Random Partition Models
Changwoo J. Lee
H. Sang
106
8
0
30 Jan 2022
Contaminated Gibbs-type priors
Contaminated Gibbs-type priors
F. Camerlenghi
R. Corradin
A. Ongaro
23
0
0
26 Aug 2021
A Bayesian nonparametric approach to count-min sketch under power-law
  data streams
A Bayesian nonparametric approach to count-min sketch under power-law data streams
Emanuele Dolera
Stefano Favaro
Stefano Peluchetti
56
8
0
07 Feb 2021
Stick-breaking processes with exchangeable length variables
Stick-breaking processes with exchangeable length variables
María F. Gil-Leyva
R. H. Mena
12
10
0
11 Aug 2020
Extended Stochastic Block Models with Application to Criminal Networks
Extended Stochastic Block Models with Application to Criminal Networks
Sirio Legramanti
T. Rigon
Daniele Durante
David B. Dunson
68
22
0
16 Jul 2020
Multiscale stick-breaking mixture models
Multiscale stick-breaking mixture models
M. Stefanucci
A. Canale
41
5
0
16 Jan 2020
Consensus Monte Carlo for Random Subsets using Shared Anchors
Consensus Monte Carlo for Random Subsets using Shared Anchors
Yang Ni
Yuan Ji
P. Müller
60
14
0
28 Jun 2019
Importance conditional sampling for Pitman-Yor mixtures
Importance conditional sampling for Pitman-Yor mixtures
A. Canale
R. Corradin
Bernardo Nipoti
61
17
0
19 Jun 2019
A simple proof of Pitman-Yor's Chinese restaurant process from its
  stick-breaking representation
A simple proof of Pitman-Yor's Chinese restaurant process from its stick-breaking representation
Caroline Lawless
Julyan Arbel
53
1
0
15 Oct 2018
Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse
  Networks
Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks
Benjamin Bloem-Reddy
Adam Foster
Emile Mathieu
Yee Whye Teh
69
5
0
09 Jul 2018
Scalable Bayesian Nonparametric Clustering and Classification
Scalable Bayesian Nonparametric Clustering and Classification
Yang Ni
Peter Muller
M. Diesendruck
Sinead Williamson
Yitan Zhu
Yuan Ji
57
27
0
07 Jun 2018
Hierarchical Species Sampling Models
Hierarchical Species Sampling Models
F. Bassetti
R. Casarin
Luca Rossini
39
20
0
15 Mar 2018
Reducing over-clustering via the powered Chinese restaurant process
Reducing over-clustering via the powered Chinese restaurant process
Jun Lu
Meng Li
David B. Dunson
50
12
0
15 Feb 2018
Preferential Attachment and Vertex Arrival Times
Preferential Attachment and Vertex Arrival Times
Benjamin Bloem-Reddy
Peter Orbanz
63
12
0
05 Oct 2017
Gibbs-type Indian buffet processes
Gibbs-type Indian buffet processes
Creighton Heaukulani
Daniel M. Roy
50
9
0
08 Dec 2015
A hybrid sampler for Poisson-Kingman mixture models
A hybrid sampler for Poisson-Kingman mixture models
Maria Lomeli
Stefano Favaro
Yee Whye Teh
32
6
0
24 Sep 2015
A Menu-Driven Software Package of Bayesian Nonparametric (and
  Parametric) Mixed Models for Regression Analysis and Density Estimation
A Menu-Driven Software Package of Bayesian Nonparametric (and Parametric) Mixed Models for Regression Analysis and Density Estimation
G. Karabatsos
45
20
0
17 Jun 2015
Looking-backward probabilities for Gibbs-type exchangeable random
  partitions
Looking-backward probabilities for Gibbs-type exchangeable random partitions
S. Bacallado
Stefano Favaro
L. Trippa
33
10
0
03 Apr 2015
A marginal sampler for $σ$-Stable Poisson-Kingman mixture models
A marginal sampler for σσσ-Stable Poisson-Kingman mixture models
Maria Lomeli
Stefano Favaro
Yee Whye Teh
176
18
0
16 Jul 2014
1