RTG PRESENTATIONS: "Modern Tools in Statistics and Applications"
November 17-18, 2016
This two-day series features presentations by PhD students in the RTG. The talks are open to everyone, and graduate students from other departments are especially welcome. Feel free to stay for all of the topics or just drop in for a select few.
Location: MSB 1147
Time: 10:00am - 12:00pm
Thursday Nov 17: Computing
- 10:00am, Clark Fitzgerald, "Introduction to parallel programming in R"
- We'll learn by example how to use R's included "parallel" package to write simple parallel programs.
- 10:30am, Nicholas Ulle, "Introduction to R Markdown"
- Learn how to use R Markdown and R Notebooks for reproducible research!
- 11:00am, Benjamin Roycraft, "Big Data packages in R"
- Basic introduction to some R packages that allow one to work with data too large for R to normally handle.
Friday Nov 18: Methodology
- 10:00am, Irene Kim, "Introducion to Topological Analysis"
- Some basic ideas and concepts in the topological data analysis will be introduced.
- 10:30am, Ken Wang, "Want less constraints?" Use empirical likelihood method!"
- Empirical Likelihood is a useful method that enjoys the reliability of nonparametric methods and effectiveness of likelihood based methods. The talk will be about some potential areas where empirical likelihood can be applied.
- 11:00am, Jamshid Namdari, "Variable Selection in Ultra-high Dimensions"
- An overview of recent advances in ultra-high dimensional variable selection with application to microarray data will be presented.
- 11:30am, Dmitriy Izyumin, "The Bootstrap - Basics and Applications"
- A brief overview of the bootstrap methodology and a few of its applications.