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STA 7249: Presentations
- Presentation Schedule
- Evaluation Rubric
- Class Presentation Instructions
- Choose a topic. You may choose to present a paper or
even material taken from textbooks that extends methods or
ideas covered in class. A few possible papers are
listed below and in the bibliography of the course
notes, but you are encouraged to look elsewhere as well.
General topics areas include:
You may also choose to focus on a specific application
provided that it is interesting enough and you are able to
do the computing yourself.
- Ordinal models not discussed in class: ordinal
probit model, adjacent category logit model, etc.
- Other nominal data models.
- More details on model diagnotics for binary,
ordinal, and/or multinomial regression.
- Bayesian inference for GLMs, or maybe for a
- Generalized linear mixed models (GLMM). (However I
will cover some of this in class.)
- Generalized estimating equations (GEE). (I may cover
some of this in class as well.)
- Check with me on the suitability of your topic before
you get too far.
- Prepare a 25 minute presentation.
- Give the oral presentation in class. If possible I
would like to have the presentations on April 20, 22, and
23, but we will discuss the schedule after the break.
- Send me an electronic copy of your slides.
- A List of Some
Papers for Consideration
Unless otherwise expressly stated, all original materials created by
Brett Presnell and included in these course web pages are licensed
Commons Attribution-Noncommercial-Share Alike 2.5 License.