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 …

Researchers are increasingly interested in regression models for functional data. This article
discusses a comprehensive framework for additive (mixed) models for functional responses …

Semiparametric regression is a fusion between parametric regression and nonparametric
regression that integrates low-rank penalized splines, mixed model and hierarchical …

We propose fast univariate inferential approaches for longitudinal Gaussian and non-
Gaussian functional data. The approach consists of three steps:(i) fit massively univariate …

With the advent of continuous health monitoring with wearable devices, users now generate
their unique streams of continuous data such as minute-level step counts or heartbeats …

Objective measurement of physical activity using wearable devices such as accelerometers
may provide tantalizing new insights into the association between activity and health …

BACKGROUND: Previous research suggests that school characteristics may influence
physical activity. However, few studies have examined associations between school …

Functional data are increasingly encountered in scientific studies, and their high
dimensionality and complexity lead to many analytical challenges. Various methods for …

Wearable data is a rich source of information that can provide a deeper understanding of
links between human behaviors and human health. Existing modelling approaches use …

In the context of uneven-aged mixed-species forest management, an individual-tree basal
area increment model considering forest structural diversity was developed for oaks …