Functional Modelling and Classification of Longitudinal Data *

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Functional Data Analysis (2016, methodology): “For regression-based functional classiﬁcation models, functional generalized linear models (James 2002; M¨uller 2005; M¨uller & Stadtm¨uller 2005) or more speciﬁcally, functional binary regression, such as functional logistic regression, are popular approaches.”
Operator-valued Kernels for Learning from Functional Response Data (2015, background): “Regularization can be implemented in a variety of ways, for example by penalized splines (James, 2002) or by truncation of series expansions (Müller, 2005).”
Conditional quantile analysis when covariates are functions, with application to growth data (2012, methodology): “Keywords: Conditional distribution function; Conditional reference chart; Functional data analysis; Growth data analysis; Quantile analysis; Uniform weak convergence”