Functional data analysis (FDA), which is a branch of statistics on modeling infinite
dimensional random vectors resided in functional spaces, has become a major research …

Functional data analysis (FDA) studies data that include infinite-dimensional functions or
objects, generalizing traditional univariate or multivariate observations from each study unit …

Mangroves play a significant part in the marine ecosystem and harbour a plethora of
microorganisms vital for various ecological functions. However, they remain vulnerable to …

We consider spatially dependent functional data collected under a geostatistics setting,
where locations are sampled from a spatial point process. The functional response is the …

Testing the homogeneity between two samples of functional data is an important task. While
this is feasible for intensely measured functional data, we explain why it is challenging for …

This paper develops a nonparametric inference framework that is applicable to occupation
time curves derived from wearable device data. These curves consider all activity levels …

The functional linear model with functional response (FLMFR) is one of the most
fundamental models to assess the relation between two functional random variables. In this …

The goodness-of-fit testing for functional linear regression models with functional responses
is studied. A residual-marked empirical process-based test is proposed. The test is …

A novel method for testing the null hypothesis of no effect of a covariate on the response is
proposed in functional linear concurrent regression. An equivalent random effects …

In functional data analysis (FDA), the covariance function is fundamental not only as a
critical quantity for understanding elementary aspects of functional data but also as an …