Single‐index model selections

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Planning Marketing-Mix Strategies in the Presence of Interaction Effects (2005, methodology): “Hence, managers should first fit several alternative specifications using the proposed estimation method (see §6.1) and then determine the specification to retain using appropriate information criteria (Naik and Tsai 2001, 2004).”
An asymptotic theory for model selection inference in general semiparametric problems (2007, unknown): “variable selection in semiparametric and additive models. Naik and Tsai (2001) developped”
Understanding the Impact of Synergy in Multimedia Communications (2003, methodology): “Naik and Tsai (2001) have developed an approach for the estimation and selection of single-index models.”
Penalized least squares for single index models (2011, methodology): “Traditional variable selection methods, such as AIC, BIC, Cp or cross validation methods (Kong and Xia, 2007; Naik and Tsai, 2001), have to estimate parameters and calculate a criterion value for every candidate model first, and then select the best model according to the criterion values.”