Math Talk: "Statistical Models for Network Analysis," Martina Morris '80
Thursday, November 5, 4:10 PM - 5:00 PM
Physics 123
This event is open to the public.
LECTURE
Martina Morris ‘80, Department of Sociology and Statistics, University of Washington
Mathematics Talk: Statistical Models for Network Analysis
Thursday, November 5, 2015, 4:10 p.m., Physics 123
The past 10 years have seen a rapid growth in the development of statistical methodology for the empirical analysis of network data. Network data are distinctive in two ways: there are two units of analysis (nodes and links), and the observations are dependent (both within and between unit). The progress has been driven in large part by the development of computational methods for estimation, in particular, Markov Chain Monte Carlo (MCMC) methods. This talk will give an overview of the new methods and their foundation, with applications in both cross-sectional (static) and temporal (dynamic) networks.
This talk will provide a good background for the Applied Network Analysis workshop on Friday at 3pm.
All are welcome. Free and open to the public. Refreshment will be provided.
3203 SE WOODSTOCK BLVD | PORTLAND, OREGON 97202
For more information, visit:
http://www.reed.edu/math/seminars/index.html.
Submitted by Kim Kadas.
Posted on Nov 2, 2015
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