Markov process models for time-varying networks: basic theory and practical limitations
3:30-4:30pm
Harry Crane is an Associate Professor of Statistics at Rutgers University. Before teaching at Rutgers, Harry received his PhD in Statistics from the University of Chicago and BA in Mathematics and Economics from the University of Pennsylvania. He has previously held positions as a Visiting Scholar in Mathematics at UC Berkeley, Research Associate at the RAND Corporation, and Research Fellow at the Foreign Policy Research Institute.
My research interests are in probability theory and foundations of statistical inference. My recent work focuses on a particular application to modeling network datasets, which has led to the introduction and development of edge exchangeable network models with Walter Dempsey in 2015. My other interests include logic and philosophical foundations of probability.
Probability as Shape
4:30-6:30pm