Title:

 A Review of Statistical Models for Networks

 (joint work with Garry Robins, University of Melbourne)


Abstract:

 This talk highlights the wide range of statistical analyses that are part of network science.  Of particular importance are the exponential family of random graph distributions, known as p*, and recent work on robustness and resistance of network data when actors and/or relational ties are missing or removed.


Biosketch:

 Stanley Wasserman is Rudy Professor of Psychology, Sociology, and Statistics in the Departments of Statistics, Sociology, and Psychological and Brain Sciences at Indiana University.  He has held faculty positions at Carnegie-Mellon University, University of Minnesota, and University of Illinois, in the disciplines of Statistics, Psychology, and Sociology;  in addition, at Illinois, he was a part-time faculty member in the Beckman Institute of Advanced Science and Technology, and has had visiting appointments at Columbia University and University of Melbourne.  He was educated at the University of Pennsylvania and Harvard University in the 1970's.
	
 He is a fellow of the Royal Statistical Society, and an honorary fellow of the American Statistical Association and the American Association for the Advancement of Science.  He has been an Associate Editor of a variety of statistics and methodological journals, as well as the Editor of Centrality, and Book Review Editor of Chance.  His research has been supported over the years by NSF, ONR, and NIMH.  He teaches courses on applied statistics and sociological and psychological methods.  At present, he is also Scientist of Visible Path Corporation in New York City and Foster City, California, a software firm engaged in developing social network analysis for corporate settings.