Ontology highlight
ABSTRACT:
SUBMITTER: Gertheiss J
PROVIDER: S-EPMC4131701 | biostudies-literature | 2013
REPOSITORIES: biostudies-literature
Gertheiss J J Maity A A Staicu A-M AM
Stat 20130101 1
Modern research data, where a large number of functional predictors is collected on few subjects are becoming increasingly common. In this paper we propose a variable selection technique, when the predictors are functional and the response is scalar. Our approach is based on adopting a generalized functional linear model framework and using a penalized likelihood method that simultaneously controls the sparsity of the model and the smoothness of the corresponding coefficient functions by adequat ...[more]