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Mixtures of Experts Models

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Author(s)
Gormley, Isobel Claire 
Frühwirth-Schnatter, Sylvia 
Uri
http://hdl.handle.net/10197/10285
Date Issued
07 January 2019
Date Available
02T11:38:08Z May 2019
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
Keywords
  • 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
Part of
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/
Owning collection
Insight Research Collection
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