(2007), ”Functional PLS Logit Regression Model“, Computational Statistics and Data Analysis, 51(10) , 4891–4902. MATH MathSciNetEscabias, M., Aguilera, A.M., Valderrama, M.J.: Functional PLS logit regression model. Comput. Stat. Data An. 51 , 4891–4902 (2006) MathSciNet...
In this paper we applied a PLS logit regression algorithm and introduce a new criterion for selecting the opti- mum PLS components that provides an optimum reconstruction of the parameter function with a small number of predictor variables.Aguilera...
The functional parameter estimated by functional principal component logit regression is often nonsmooth and then difficult to interpret. To solve this problem, different penalized spline estimations of the functional logit model are proposed in this paper. All of them are based on smoothed functional ...