Stephen Fienberg
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Department of Statistics and Machine Learning Department, Carnegie Mellon University fienberg@stat.cmu.edu
Stephen E. Fienberg is Maurice Falk University Professor of Statistics and Social Science at Carnegie Mellon University, with appointments in the Department of Statistics, the Machine Learning Department, and Cylab. He has served as Dean of the College of Humanities and Social Sciences at Carnegie Mellon and as Vice President for Academic Affairs at York University, in Toronto, Canada, as well as on the faculties of the University of Chicago and the University of Minnesota. He was founding co-editor of Chance and served as the Coordinating and Applications Editor of the Journal of the American Statistical Association. He is currently one of the founding editors of the Annals of Applied Statistics and is co-founder of the new online Journal of Privacy and Confidentiality. His research includes the development of statistical methods for categorical data analysis, from both likelihood and Bayesian perspectives, disclosure limitation and privacy, and network modeling, as well as the history of statistics. Fienberg is the author or editor of over 20 books and 400 papers and related publications, including an edited volume and several papers on network modeling. His two books on categorical data analysis are Citation Classics and were recently reprinted by Springer-Verlag. He is a member of the U. S. National Academy of Sciences, and a fellow of the Royal Society of Canada, the American Academy of Arts and Sciences, and the American Academy of Political and Social Science.
Contents |
[edit] Dynamic Network Models
[edit] New paper abstract
2009 From Here to Eternity: Developing Dynamic Network Models - and the paper itself?
- In a couple of months there will be a revised extended review paper on this topic. You might also look at the web page of my Machine Learning colleaguge at CMU, Eric Xing, for related materials. See his publications and for an erg class of model:
- S. Hanneke and E.P Xing, Discrete Temporal Models of Social Networks, In proceedings of the Workshop on Statistical Network Analysis, the 23rd International Conference on Machine Learning (ICML-SNA 2006).
[edit] Book
Airoldi, Edoardo M., Blei, David M., Fienberg, Stephen E., Goldenberg, Anna, Xing, Eric, and Zheng, Alice (eds.) (2007) Statistical Network Analysis: Models, Issues, and New Directions ICML 2006 Workshop on Statistical Network Analysis, Pittsburgh, PA, USA, June 29, 2006, Lecture Notes in Computer Science, Vol. 4503, Springer-Verlag.
[edit] Course
There is also a 2007 course
[edit] UCI IMBS Talk
And a talk: May 21, 2009 9:36 am
- To: Faculty@uci.edu
- COLLOQUIUM TODAY
STEPHEN FIENBERG
Maurice Falk University Professor of Statistics and Social Science, Carnegie Mellon University
From Here to Eternity: Developing Dynamic Network Models
Thursday, May 21, SSPA 2112, 4:00 – 5:00 p.m.
Much of the recent literature on the modeling of network data has focused on snapshots of networks, often accumulated over periods of time. More interesting are dynamic network models but these are often simplistic or focus on selected network characteristics. In this presentation we attempt to provide a common framework for the modeling of networks evolving over time and we discuss how different strategies that appear in the literature fit within the framework.
[edit] UCLA Marschak Talk
May 22, 2009 Marschak Colloquium: Same title, paper.
