Graduate Statistics Seminar
Xianwei Bu
UIC. MSCS
D-optimal Designs for Multinomial Logistic Models
Abstract: 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.
Wednesday September 14, 2016 at 3:00 PM in SEO 512