| Date |
Speaker & Title |
Abstract |
| August 24 |
|
No seminar |
| August 31 |
|
No seminar |
| September 7 |
Internship panel discussion |
Six students who did/are doing internships at various companies/agencies are invited to talk about their experiences. |
| September 14 |
Xianwei Bu
D-optimal Designs for Multinomial Logistic Models
|
Multinomial logistic models have been widely used for categorical responses or multinomial responses.
In order to construct a general framework towards D-optimal designs for these models, we unify all the
four models into a common form and extend them to fit different model assumptions. We explore the design
space of these models, derive a simplified form of the Fisher information matrix, and obtain explicit
formulas of its determinant. We also develop efficient numerical algorithms for searching D-optimal designs.
|
| September 21 |
Xindi Wang |
Oral Practice |
| September 28 |
Tian Tian |
Intuitive thinking in optimal design theory -- To see some basic optimal design concepts from an intuitive point of view...
|
| October 05 |
|
No seminar |
| October 12 |
Raymond Mess |
I will talk a little about what some of the options of courses in
Epidemiology and Biostatistics are for the Statistics student. I shall
also give some reasons why they should be considered. |
| October 19 |
Shaui Hao |
Oral Practice |
| October 26 |
Yi Hua |
Oral Practice |
| November 2 |
Maryam Emami Neyestanak
Forecasting of direct solar irradiance using stochastic learning methods, clear sky data and the NWS database
|
As part of Concentrating Solar Power Capital Cost and Expected O&M project, we model the direct solar irradiance using stochastic learning methods, clear sky data and the NWS database. Project partners NREL, Northwestern University, Colorado School of Mines, Argonne National Laboratory, and SolarReserve develop detailed performance and cost models. We use ARMA models with additional predictors from the National Digital Forecast Database (NDFD) of the National Weather Service (NWS), and our approach is motivated in large part by the work of Marquez and Coimbra, although we employ simpler forecasting models than their neural networks. |
| November 9 |
Tian Tian
Poster competition practice for ICSA Midwest Meeting
|
I'll talk briefly about optimal design theory in dose-finding problems with late onset toxicities. Models we built and methods we applied. Algorithm structure will also be illustrated. |
| November 16 |
|
|
| November 23 |
|
|
| November 30 |
|
|
| December 7 |
Final Exam Week |
No Seminar |
