Statistics and Data Science Seminar - Spring 2010
Usually meets Wednesday at 4:00 pm in SEO 636.
| Date | Speaker | Title |
|---|---|---|
|
January 13
|
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|
January 15
(2:00 pm; SEO 612)
|
Wei Zheng
UIC |
Efficient Crossover Designs and Limit Theories for Sample Covariances of Long-Memory Linear Processes |
|
January 20
|
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|
January 27
(3:00 pm; SEO 636)
|
Ying Zhou
UIC |
D-OPTIMAL DESIGNS FOR COMPLEX NONLINEAR MODELS |
|
February 3
(3:00 pm; SEO 636)
|
Cuilan Zhang
UIC |
Optimal Allocation of Subjects to Multiple Treatments with Weibull Models |
|
February 10
|
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|
February 17
(3:00 pm; SEO 636)
|
Han Xiao
University of Chicago |
Almost Sure Limit of the Smallest Eigenvalue of Some Sample Correlation Matrices |
|
February 24
(3:00 pm; SEO 636)
|
Yuqing Tang
UIC |
A Comparison Model for Measuring Individual Agreement via GEE Approach |
|
March 3
(3:00 pm; SEO 636)
|
Prof. David Degras
University of Chicago |
Inference methods in functional mixed-effects models |
|
March 10
|
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|
March 17
(3:00 pm; SEO 636)
|
Prof. Annie Qu
UIUC |
Model Selection of Correlation Structure for Clustered Data |
|
March 24
|
No seminar
|
Spring Break |
|
March 31
(3:00 pm; SEO 636)
|
Prof. Fangfang Wang
UIC |
The HYBRID GARCH Class of Models |
|
April 7
(3:00 pm; SEO 636)
|
Prof. Sijian Wang
University of Wisconsin - Madison |
Regularized REML for Estimation and Selection of Fixed and Random Effects in Linear Mixed-Effects Models |
|
April 9
(2:00 pm; SEO 612)
|
Prof. Abhyuday Mandal
University of Georgia |
Social Network Models for Identifying Active Brain Regions from fMRI Data |
|
April 14
(3:00 pm; SEO 636)
|
Prof. Noelle Samia
Northwestern University |
ON THE ANALYSIS OF NON-NORMAL NONLINEAR TIME SERIES |
|
April 21
(3:00 pm; SEO 636)
|
Prof. Hongmei Jiang
Northwestern University |
Statistical issues in cancer-related copy number profiling |
|
April 23
(4:15 pm; SEO 636)
|
Prof. John Morgan
Virginia Tech |
Optimal Design for Experiments with a Control |
|
April 28
(3:00 pm; SEO 636)
|
Prof. Bruce D. Spencer
Northwestern University |
Estimating the Accuracy of Verdicts in Criminal Trials when Truth Is Unknown |