Visual representations of statistical relationships.
Graphical models, also known as probabilistic graphical models, provide a visual framework for representing complex statistical relationships between variables. These models combine principles of probability theory with graph theory to create intuitive representations of data relationships.
Faculty exploring graphical models.
Dan Kowal
Associate Professor of Statistics and Data Science
Dan Kowal
Associate Professor of Statistics and Data Science
Contact
dan.kowal@cornell.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
Y. Samuel Wang
Assistant Professor of Statistics and Data Science
Y. Samuel Wang
Assistant Professor of Statistics and Data Science
Contact
ysw7@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
