Revitalizing the multivariate elliptical leptokurtic-normal distribution and its application in model-based clustering
Ryan P. Browne
Statistics & Probability Letters, 2022, vol. 190, issue C
Abstract:
We derive an improved unimodality criteria for the elliptical multivariate leptokurtic-normal (MLN) distribution. For finite mixtures of MLN, we prove identifiability. Then we provide a new estimation algorithm and show improvement over existing methods.
Keywords: Unimodality; Identifiability mixture models; Leptokurtic-normal (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715222001687
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:190:y:2022:i:c:s0167715222001687
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.spl.2022.109640
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().