PSU Mark
Eberly College of Science Mathematics Department

Meeting Details

For more information about this meeting, contact Victor Nistor, Stephanie Zerby, Mark Levi, Jinchao Xu.

Title:GPT models: Basic theory, initial implementation, existing issues, and challenges
Seminar:CCMA Luncheon Seminar
Speaker:Xiangen Hu, U. Memphis
General Processing Tree (GPT) model is a mathematical form of multinomial processing tree (MPT) models. This presentation will be divided into three parts. 1) Mathematical and statistical properties of GPT models : The basic theory of GPT models will include an overview of the theoretical results that have been obtained in prior researches. I will emphasize some extensions. For example, I will talk about the extension of GPT models to analyze categorical data such as contingency tables. 2) Computer software packages for GPT models: There are several computer software packages that have been created for analyzing GPT and MPT models. I will explore the features for the packages. The purpose of evaluating the existing packages is to see what else we can do to make the GPT/MPT tools available to researchers in other domains. 3) Existing issues and challenges: To end the presentation, I will raise a few issues of GPT models, such as the issue of structure identifiably for GPT models.

Room Reservation Information

Room Number:MB114
Date:09 / 28 / 2012
Time:12:20pm - 01:30pm