Functional data analysis (FDA) involves the analysis of data whose ideal units of
observation are functions defined on some continuous domain, and the observed data …

Advances in data collection and storage have tremendously increased the presence of
functional data, whose graphical representations are curves, images or shapes. As a new …

Recent years have seen an explosion of activity in the field of functional data analysis (FDA),
in which curves, spectra, images and so on are considered as basic functional data units. A …

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 …

Modern research data, where a large number of functional predictors is collected on few
subjects are becoming increasingly common. In this paper we propose a variable selection …

We describe and analyse a longitudinal diffusion tensor imaging study relating changes in
the microstructure of intracranial white matter tracts to cognitive disability in multiple …

Functional data analysis is a field of growing importance in Statistics. In particular, the
functional linear model with scalar response is surely the model that has attracted more …

Sugarcane bagasse ash (SCBA) is produced during the cogeneration of dry sugarcane
bagasse in the sugar and ethanol industries. Managing the huge amount of SCBA is a …

Despite of various similar features, Functional Data Analysis and High-Dimensional Data
Analysis are two major fields in Statistics that grew up recently almost independently one …

The increasing richness in the volume and types of data in the financial domain provides
unprecedented opportunities for understanding the stock market more comprehensively and …