For more information about this meeting, contact Victor Nistor, Robin Enderle, Mark Levi, Jinchao Xu, Ludmil Zikatanov.
| Title: | GPT models: Basic theory, initial implementation, existing issues, and challenges |
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| Seminar: | CCMA Luncheon Seminar |
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| Speaker: | Xiangen Hu, U. Memphis |
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| Abstract: |
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| 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 |
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| Date: | 09 / 28 / 2012 |
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| Time: | 12:20pm - 01:30pm |
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