Treffer: Parsimonious mixtures of seemingly unrelated contaminated normal regression models

Title:
Parsimonious mixtures of seemingly unrelated contaminated normal regression models
Authors:
Gabriele Perrone, Gabriele Soffritti
Contributors:
Gabriele Perrone, Gabriele Soffritti
Publication Year:
2022
Collection:
IRIS Università degli Studi di Bologna (CRIS - Current Research Information System)
Subject Terms:
Contaminated normal distribution, ECM algorithm, mixture of regression models, model-based cluster analysis, seemingly unrelated regression
Document Type:
Konferenz conference object
File Description:
ELETTRONICO
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/isbn/978-989-98955-9-1; ispartofbook:Book of Abstracts; 17th Conference of the International Federation of Classification Societies (IFCS2022); firstpage:104; lastpage:104; numberofpages:1; https://hdl.handle.net/11585/917235
Availability:
https://hdl.handle.net/11585/917235
Accession Number:
edsbas.627C9F4F
Database:
BASE