Functional data analysis (FDA) is a statistical framework that allows for the analysis of
curves, images, or functions on higher dimensional domains. The goals of FDA, such as …

The selection of grouped variables using the random forest algorithm is considered. First a
new importance measure adapted for groups of variables is proposed. Theoretical insights …

Functional data, ie, observations represented by curves or functions, frequently arise in
various fields. The theory and practice of statistical methods for such data is referred to as …

It is well known that traffic flows in road networks may vary not only within the day but also
between days. Existing models including day-to-day variability usually represent all …

Motivated by an ischemic heart screening problem, a new global test for one-way ANOVA in
functional data analysis is studied. The test statistic is taken as the maximum of the pointwise …

Faced with novel coronavirus outbreak, the most hard-hit countries adopted a lockdown
strategy to contrast the spread of virus. Many studies have already documented that the …

A new functional ANOVA test, with a graphical interpretation of the result, is presented. The
test is an extension of the global envelope test introduced by Myllymaki et al.(2017, Global …

Functional data are being observed frequently in many scientific fields, and therefore most of
the standard statistical methods are being adapted for functional data. The multivariate …

The methodological contribution in this paper is motivated by biomechanical studies where
data characterizing human movement are waveform curves representing joint measures …

Abstract The World Wide Web (WWW) has become a popular and readily accessible big
data source in recent decades. The information in the WWW is offered in many different …