Graduate Student Seminar
Wednesday, February 28, 2018 · 11 AM - Noon
|Session Chair||Iris Gauran|
|Discussant||Dr. Bedrich Sousedik|
Speaker 1: Nadeesri Wijekoon
- A New Joint Distribution for data with a Continuous Component and an Observable Binary Component
- In longitudinal studies of health care areas, subjects may not be able to respond to questions over the time due to various reasons. Therefore, researches might have to rely on the answer of another person (proxy) who's related to the subject. There are different methods exist analyzing these types of data. However, it is always better to consider a framework where both subject data and proxy data include in the analyses. In this presentation, we are introducing a joint model which accommodates both self and proxy data coming from different sources. Further, we will introduce *“R shiny” *applet which we can use to generate data from the above joint distribution.
Speaker 2: Randy Price
- Overview of time-stepping algorithms for the Navier-Stokes equations
- In this talk we will go over some of the more popular time-stepping algorithms for the Navier-Stokes equations. I will discuss the pros and cons of each algorithm and try to give some insight into how the algorithms came about.