Exploring continuous data structures.
Functional Data Analysis (FDA) is a modern branch of statistics that focuses on analyzing and modeling data that exists as functions, curves, or continuous patterns rather than discrete points. This approach treats entire functions as the fundamental unit of observation, enabling researchers to study patterns, variations, and relationships in continuous processes.
Faculty studying functional data analysis.
David S. Matteson
Professor of Statistics and Data Science, Director of the National Institute of Statistical Sciences
Matteson <at> cornell <dot> edu
David S. Matteson
Office:
Computing and Information Science Building 328
David Ruppert
Andrew Schultz Jr. Professor of Engineering, School of Operations Research and Information Engineering, Professor of Statistics and Data Science
