Date | Speaker | Topic |
January 13
|
Yu-Xiang Wang (Machine Learning, Carnegie Mellon)
|
Trend Filtering on Graphs: Optimal denoting in k-D TV-classes and the Limitation of Linear Smoothers
|
January 20
|
No talk (two department seminars)
|
|
January 27
|
No talk (two department seminars)
|
|
February 3
|
Julie Bessac (Argonne Natl Labs)
|
Stochastic simulation of predictive space-time scenarios of wind speed using observations and physical model outputs
|
February 10
|
Duncan Fong
|
A Bayesian Multinomial Probit Model for the Analysis of Panel Choice Data
|
February 17
|
John Liechty
|
Gremlins in the Data: Identifying the Information Content of Research Subjects
|
February 24
|
Yanyuan Ma
|
Functional and very high dimension reduction
|
March 3
|
Ephraim Hanks
|
Modeling spatial covariance using the limiting distribution of spatio-temporal random walks
|
March 10
|
No seminar (spring break)
|
|
March 17
|
No seminar (grad student recruitment week)
|
|
March 24
|
Michele Diaz (Psychology)
|
Neuroimaging of Language Production and Aging
|
March 31
|
Scott Bennett (Political Science)
|
Being Your Own Worst Enemy, and Learning to Win: An Agent-based Simulation of Government Learning in Responding to Insurgency
|
April 7
|
Stephanie Lanza (Health and Human Development)
|
Finite Mixture Modeling to Understand Within-Person Affect Variability
|
April 14
|
Joshua Snoke
|
Secure Multiparty Maximum Likelihood Estimation with Partitioned Databases
|
April 21
|
Bharath Sriperumbudur
|
|