The Statistics Colloquium Series is sponsored by
the Department of Computational and Data Sciences,
the Center for Computational Data Sciences,
and the Department of Statistics,
at George Mason University.
This seminar series can be used to satisfy one of the requirements in the PhD program in
Computational Statistics
in the Department of Computational and Data Sciences.
Students may also learn about employment or intern opportunities from speakers in informal discussions before or after the presentations.
The colloquia are open to all.
Colloquia are generally held on Fridays at 10:45 am
Coffee and refreshments are served at 10:30 am in the same room as the colloquia.
Directions to the Fairfax Campus and a
campus map are available.
For Fall of 2008, most seminars are held in Research 1, Room 301
If driving, visitors should use the visitor's parking area in the Parking Deck (near the middle of the map). Signs on campus point the way to the Parking Deck. Visitors using Metro can take a bus from the Vienna Metro Station.
Seminars are canceled whenever classes at GMU are canceled for snow or other reasons. Announcements of cancellations are made in local media, as well as at the
main GMU webpage.
September 12, 2008
Computational Methods in Finance
James E. Gentle
Department of Computational and Data Sciences, College of Science, George Mason University
Abstract
Slides from Talk
Location: Research 1, Room 301
September 19, 2008
Mixture Models for Document Clustering
Edward J. Wegman
Department of Computational and Data Sciences, College of Science, and
Department of Statistics, Volgenau School on Information Technology and Engineering
George Mason University
Abstract
Slides from Talk
Mixture Weights Movie
Location: Research 1, Room 301
September 26, 2008
Challenges and Opportunities For the Statistics Profession and the American Statistical Association
Ron Wasserstein
Executive Director, American Statistical Association
Abstract
Slides from Talk
Location: Research 1, Room 301
October 3, 2008
Multi-Mode and Evolutionary Networks
Walid K. Sharabati
Department of Statistics, Purdue University
Abstract
Slides from Talk
Location: Research 1, Room 301
October 10, 2008
Using a Model of Human Cognition of Causality to Orient Arcs
in
Structural Learning of Bayesian Networks
Jee Vang
College of Science, George Mason University
Abstract
Slides from Talk
Location: Research 1, Room 301
October 17, 2008
Modeling Health Care Outcomes
R. Clifton Bailey
Affiliated Faculty, Department of Statistics, George Mason University
Abstract
Slides from Talk
Location: Research 1, Room 301
October 24, 2008
Detecting Localized Network Activity: Statistical Inference on Latent Position Random Graphs
Libby Beer
Department of Applied Mathematics and Statistics, The Johns Hopkins University
Abstract
Slides from Talk
Location: Research 1, Room 301
October 31, 2008
Volatility, Jump Dynamics in the U.S. Energy Futures Markets
Johan Bjursell
Department of Computational and Data Sciences, George Mason University
Abstract
Slides from Talk
Location: Research 1, Room 301
November 3, 2008
Bayesian Scale Space Smoothing with Applications
Lasse Holmström
Department of Mathematical Sciences, University of Oulu, Finland
Abstract
Slides from Talk
Location: Research 1, Room 301
November 7, 2008
On the Monotone Likelihood Ratio Property for the Convolution of Independent Binomial Random Variables
Andrey Rukhin
Department of Applied Mathematics and Statistics, The Johns Hopkins University
Abstract
Slides from Talk
Location: Research 1, Room 301
November 14, 2008
A Model of Innovation by Purposive Agents Yielding Coevolution of Economic Goods and Increasing Technological Complexity
Rob Axtell
Department of Computational Social Science, George Mason University
Abstract
Slides from Talk
Location: Research 1, Room 301
November 21, 2008
A Graph Theoretic Representation of Land Cover Data
Lee De Cola
U.S. Geological Survey
Abstract
Slides from Talk
Location: Research 1, Room 301
Past schedules are also available.
The Statistics Colloquium Series constitutes a George Mason course foracademic credit of one hour. The course is CSI 898.