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.
Dan Kowal
Associate Professor of Statistics and Data Science
Dan Kowal
Associate Professor of Statistics and Data Science
Contact
dan.kowal@cornell.edu
David S. Matteson
Professor, Statistics and Data Science, Director of the National Institute of Statistical Sciences
David S. Matteson
Professor, Statistics and Data Science, Director of the National Institute of Statistical Sciences
Contact
Matteson <at> cornell <dot> edu
David Ruppert
Andrew Schultz Jr. Professor of Engineering, School of Operations Research and Information Engineering, Professor of Statistics and Data Science
David Ruppert
Andrew Schultz Jr. Professor of Engineering, School of Operations Research and Information Engineering, Professor of Statistics and Data Science
Contact
dr24@cornell.edu
