Functional data analysis (FDA) is the branch of statistics that treats individual observations as continuous functions, curves or surfaces rather than as finite-dimensional vectors. Central to FDA are ...

Nonparametric functional data analysis encompasses statistical methods for data represented as continuous curves or functions rather than scalar or vector measurements. These techniques avoid rigid ...

Single-cell functional analysis enables scientists to examine the unique characteristics of each cell within organs, tissues, and cell cultures. Unlike bulk-cell analysis, single-cell analysis allows ...

Functional analysis has a long history in psychology. Originally borrowed from mathematics (Ponte, 1992), it is the central concept in behavior analysis, the perspective on psychology created by B. F.