Karabatsos, 2018 - Google Patents
Marginal maximum likelihood estimation methods for the tuning parameters of ridge, power ridge, and generalized ridge regressionKarabatsos, 2018
View PDF- Document ID
- 13637629916044018116
- Author
- Karabatsos G
- Publication year
- Publication venue
- Communications in Statistics-Simulation and Computation
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Snippet
This study introduces fast marginal maximum likelihood (MML) algorithms for estimating the tuning (shrinkage) parameter (s) of the ridge and power ridge regression models, and an automatic plug-in MML estimator for the generalized ridge regression model, in a Bayesian …
- 238000007476 Maximum Likelihood 0 title abstract description 86
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