Analyzing data when variables exceed observations.
High-dimensional statistics addresses the unique challenges and theoretical foundations of analyzing data where the number of variables is very large, often exceeding the number of observations. This modern branch of statistics has become increasingly important with the emergence of big data across various fields.
Faculty studying high-dimensional statistics.
James Booth
Professor of Statistics and Data Science, Department Chair
James Booth
Professor of Statistics and Data Science, Department Chair
Contact
jim.booth@cornell.edu
Jelena Bradic
Professor of Statistics and Data Science
Jelena Bradic
Professor of Statistics and Data Science
Contact
jelena.bradic<at>cornell<dot>edu
Ahmed El Alaoui
Assistant Professor of Statistics and Data Science
Ahmed El Alaoui
Assistant Professor of Statistics and Data Science
Contact
ae333@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
Yang Ning
Associate Professor of Statistics and Data Science, Director of Graduate Studies, Statistics and Data Science
Yang Ning
Associate Professor of Statistics and Data Science, Director of Graduate Studies, Statistics and Data Science
Marten Wegkamp
Professor of Statistics and Data Science
Marten Wegkamp
Professor of Statistics and Data Science
Contact
marten.wegkamp@cornell.edu
Martin T. Wells
Charles A. Alexander Professor of Statistical Sciences, Director of Undergraduate Studies, Statistics and Data Science
Martin T. Wells
Charles A. Alexander Professor of Statistical Sciences, Director of Undergraduate Studies, Statistics and Data Science
Contact
mtw1@cornell.edu
