Partially functional linear regression in high dimensions

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Functional Data Analysis (2016, methodology): “…2011), predictor selection among high-dimensional functional principal component scores and baseline covariates in functional regression models (Kong et al. 2015), or converting high-dimensional data outright into functional data, where the latter has been referred to as Stringing (Wu &…”
Peter Hall, functional data analysis and random objects (2016, background): “…between high-dimensional and functional data, which may occur simultaneously among the predictors in regression models (Kneip and Sarda, 2011; Kong et al., 2016) or models where high-dimensional data are represented as functional data (Chen et al., 2011), and more recently, functional data…”