. We develop a functional data analysis approach to jointly estimate a family of generalized quantile regressions. Our …

We present a notion of Spearman's coefficient for functional data that extends the classical bivariate concept to …

This paper presents a general notion of Mahalanobis distance for functional data that extends the classical … known functional classification procedures are developed using the Mahalanobis distance for functional data as a measure of … compared with those methods used in conjunction with the Mahalanobis distance for functional data, with positive results …

functional data, where for each individual we get a curve only observed at those points in which changes in the condition of his …/her dependency occur. We use functional data analysis techniques such as curve registration, functional data depth or distance …

. We develop a functional data analysis approach to jointly estimate a family of generalized quantile regressions. Our …

as two alternative functional data models. …