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.
Ahmed El Alaoui
Office:
Computing and Information Science Building 312
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
Yang Ning
Associate Professor of Statistics and Data Science, Director of Graduate Studies, Statistics and Data Science
Yang Ning
Office:
Computing and Information Science Building 306
Phone:(607) 255-3759
Martin T. Wells
Charles A. Alexander Professor of Statistical Sciences, Director of Undergraduate Studies, Statistics and Data Science
