Mixtures of Experts Models
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|Title:||Mixtures of Experts Models||Authors:||Gormley, Isobel Claire
|Permanent link:||http://hdl.handle.net/10197/10285||Date:||21-Jun-2018||Online since:||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.||Funding Details:||Science Foundation Ireland||Type of material:||Journal Article||Keywords:||Machine learning; Statistics; Mixture models; Model based analysis; Mixture of experts (ME)||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||Insight Research Collection|
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