Functional Data Analysis (FDA) is an increasingly central statistical framework that extends conventional data analysis to observations recorded as functions, curves or shapes. This approach ...

Nonparametric regression for functional data provides a flexible statistical framework for modelling relationships between a scalar response and predictors that are inherently functional in nature.

Single-cell biology has transformed how we decode cellular heterogeneity, but a new frontier is emerging: understanding what individual cells do, not just what they express. The ability to observe ...

Planning for these workloads is extremely difficult because they are transient (both instructional and data-dependent), often ...