May 4, 2021 · In a scenario like this, you might find Functional Data Analysis (FDA) to be a viable alternative to the usual multi-level, mixed model approach. This post is meant to be a “gentle” …

Jul 21, 2021 · Functional data occurs naturally in different contexts, such as intraday prices of stocks, annual temperature curves or EEG data. We have seen some examples and a bit (or …

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 refers to a collection of methods for analyzing data over a curve, surface or continuum. In today's post I'll explain why and when to use functional data analysis and …

Examples of Functional Data Analyses Here are same examples showing the methods of functional data analysis at work on real data. These examples have been chosen so as to …

• turn vectors into functions using data (t’s and y’s) and basisfd. This can be done by least squares or by “lightly smoothing” the data. ⇒ datafd (a functional data object) • plot, …

Functional data analysis (FDA) is a branch of statistics that analyzes data providing information about curves, surfaces or anything else varying over a continuum. In its most general form, …

We first introduce fundamental aspects of functional data in Section 2 including descriptive analysis methods, smoothing approaches, amplitude and phase variation, and functional …

This section illustrates functional principal component analysis (fPCA) using both simulations. It is associated with Chapter 3 of the book Functional Data Analysis with R. We use dense and …

Nov 8, 2017 · Some examples are growth curves, responses in biological, chemometric, and geophysical practice. Two influential monographs dealing with functional data analysis (FDA) …