On the consistency of Bayesian nonparametric mixtures for the number of clusters - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2022

On the consistency of Bayesian nonparametric mixtures for the number of clusters

Domains

Statistics Theory [stat.TH]

Louise Alamichel  : Connect in order to contact the contributor

https://hal.science/hal-03866460

Submitted on : Tuesday, November 22, 2022-5:41:54 PM

Last modification on : Saturday, April 27, 2024-3:09:37 AM

No file

Dates and versions

hal-03866460 , version 1 (22-11-2022)

Identifiers

  • HAL Id : hal-03866460 , version 1

Cite

Louise Alamichel, Daria Bystrova, Julyan Arbel, Guillaume Kon Kam King. On the consistency of Bayesian nonparametric mixtures for the number of clusters. ISBA 2022 - World Meeting International Society for Bayesian Analysis, Jun 2022, Montreal, Canada. ⟨hal-03866460⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

UGA CNRS INRIA INSMI LJK LJK_PS INRIA2 UNIV-PARIS-SACLAY INRAE LJK-PS-STATIFY GS-MATHEMATIQUES GS-COMPUTER-SCIENCE GS-BIOSPHERA MAIAGE MICA-UNITES MATHNUM
41 View
0 Download

Share

Gmail Facebook X LinkedIn More