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Model selection for the localized mixture of experts models.
- Source :
-
Journal of Applied Statistics . Aug2018, Vol. 45 Issue 11, p1994-2006. 13p. 5 Charts, 1 Graph. - Publication Year :
- 2018
-
Abstract
- In this paper, we propose a penalized likelihood method to simultaneous select covariate, and mixing component and obtain parameter estimation in the localized mixture of experts models. We develop an expectation maximization algorithm to solve the proposed penalized likelihood procedure, and introduce a data-driven procedure to select the tuning parameters. Extensive numerical studies are carried out to compare the finite sample performances of our proposed method and other existing methods. Finally, we apply the proposed methodology to analyze the Boston housing price data set and the baseball salaries data set. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02664763
- Volume :
- 45
- Issue :
- 11
- Database :
- Academic Search Index
- Journal :
- Journal of Applied Statistics
- Publication Type :
- Academic Journal
- Accession number :
- 130483342
- Full Text :
- https://doi.org/10.1080/02664763.2017.1405914