Uncovering Data Across Continua: An Introduction to Functional Data Analysis
Statistics Theory
2024-04-26 v1 Statistics Theory
Abstract
In a world increasingly awash with data, the need to extract meaningful insights from data has never been more crucial. Functional Data Analysis (FDA) goes beyond traditional data points, treating data as dynamic, continuous functions, capturing ever-changing phenomena nuances. This article introduces FDA, merging statistics with real-world complexity, ideal for those with mathematical skills but no FDA background.
Cite
@article{arxiv.2404.16598,
title = {Uncovering Data Across Continua: An Introduction to Functional Data Analysis},
author = {Sophie Dabo-Niang and Camille Frévent},
journal= {arXiv preprint arXiv:2404.16598},
year = {2024}
}