Functional data analysis (FDA) deals with the analysis and theory of data that are in the form of functions, images and shapes, or more general objects. The atom of functional data is a …

Functional data analysis (FDA) refers to the statistical analysis of data samples consisting of random functions or surfaces, where each function is viewed as one sample element.

In this chapter, we provide an overview of common techniques for functional principal component analysis, modeling, comparison, prediction, and classification. These techniques have been …

Functional Data Analysis (FDA) is the study of the statistics of curves and surfaces. In most statistical analyses, the object of study is either a number (one dimensional univariate …

data that are in the form of functions. This paper provides an overview of FDA, starting with simple statistical notions such as mean and covariance functions, then covering some core …

Unlike traditional statistics dealing with discrete data points, FDA focuses on entire functions, curves, or shapes, providing insights into continuous changes. Whether an-alyzing time series, …

Introduction 1 1.1 What are functional data? 1 1.2 Functional models for nonfunctional data 5 1.3 Some functional data analyses 5 1.4 The goals of functional data analysis 9 1.5 The first steps …