𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Selection of optimal regression models via cross-validation

✍ Scribed by David W. Osten

Publisher
John Wiley and Sons
Year
1988
Tongue
English
Weight
542 KB
Volume
2
Category
Article
ISSN
0886-9383

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Cross-validation of multiway component m
Cross-validation of multiway component models
✍ D. J. Louwerse; Age K. Smilde; Henk A. L. Kiers πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 133 KB πŸ‘ 1 views

Two cross-validation methods are presented for multiway component models. They are used for choosing the numbers of components to use in Tucker3 models describing three-way data. The approach is general and can easily be adapted to other three-way and multiway models. A model is estimated after leav

Robust model selection in regression via
Robust model selection in regression via weighted likelihood methodology
✍ Claudio Agostinelli πŸ“‚ Article πŸ“… 2002 πŸ› Elsevier Science 🌐 English βš– 130 KB

Robust model selection procedures are introduced as a robust modiΓΏcation of the Akaike information criterion (AIC) and Mallows Cp. These extensions are based on the weighted likelihood methodology. When the model is correctly speciΓΏed, these robust criteria are asymptotically equivalent to the class