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Mixtures of Experts Models

Author(s)
Gormley, Isobel Claire  
Frühwirth-Schnatter, Sylvia  
Uri
http://hdl.handle.net/10197/10285
Date Issued
2019-01-07
Date Available
2019-05-02T11:38:08Z
Abstract
Mixtures of experts models provide a framework in which covariates may be included in mixture models. This is achieved by modelling the parameters of the mixture model as functions of the concomitant covariates. Given their mixture model foundation, mixtures of experts models possess a diverse range of analytic uses, from clustering observations to capturing parameter heterogeneity in cross-sectional data. This chapter focuses on delineating the mixture of experts modelling framework and demonstrates the utility and flexibility of mixtures of experts models as an analytic tool.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
Type of Material
Book Chapter
Publisher
CRC Press
Copyright (Published Version)
2019 Taylor & Francis
Subjects

Machine learning

Statistics

Mixture models

Model based analysis

Mixture of experts (M...

DOI
10.1201/9780429055911
Web versions
https://www.crcpress.com/Handbook-of-Mixture-Analysis/Fruhwirth-Schnatter-Celeux-Robert/p/book/9781498763813
Language
English
Status of Item
Peer reviewed
Journal
Fruhwirth-Schnatter, S. Celeux, G., Robert, C.P. (eds.). Handbook of Mixture Analysis
ISBN
9781498763813
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
No Thumbnail Available
Name

insight_publication.pdf

Size

1.16 MB

Format

Adobe PDF

Checksum (MD5)

7b97174fa21cd260fad78202070ee9b7

Owning collection
Insight Research Collection
Mapped collections
Mathematics and Statistics Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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