Estimation and variable selection for partially functional linear models
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the Korean Statistical Society"
DOI: 10.1016/j.jkss.2018.05.002
Abstract: Abstract In this paper, a new estimation procedure based on composite quantile regression and functional principal component analysis (PCA) method is proposed for the partially functional linear regression models (PFLRMs). The proposed estimation method can… read more here.
Keywords: estimation; regression; functional linear; method ... See more keywords
On double-index dimension reduction for partially functional data
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Nonparametric Statistics"
DOI: 10.1080/10485252.2019.1632308
Abstract: ABSTRACT In this note, we consider the situation where we have a functional predictor as well as some more traditional scalar predictors, which we call the partially functional problem. We propose a semiparametric model based… read more here.
Keywords: index dimension; dimension; double index; dimension reduction ... See more keywords