This repository is for Stats 319 Winter 2023/2024 . Mondays 1:30-2:50
There is a folder for each paper, containing a README.md, a pdf of the paper and a summary of the paper (thanks to chatgp3) in the Description file
Each student is expected to choose a paper, and present it to the class. The writeup should be deposited in the paper's folder. The README.md file should contain a high level explanation of the paper, suitable for an undergrad who is trying to choose a major. After the course is over, we will direct undergrads to this repo, to try to encourage them to major in Statistics or enter a masters or PhD. program in Statistics.
Other students can/should upload any comments they have about the presentation or the README.md
For the presentation, it would be good to give some background on the authors, and discuss software that implements the given methodology (if appropriate)
Also: what important work preceded the given work, and what were notable developments since then?
| Date | Paper | Student(s) presenting | Commenters |
|---|---|---|---|
| Jan. 8 | Intro | ||
| Jan. 15 | MLK day | ||
| Jan. 22 | Laird82 | Ran Xie , Rahul Kanekar | Leda Liang, Dieka G. |
| Jan. 29 | Benjamini95 | Michael Salerno & Aditya Ghosh | Amber Hu, Sophia Lu |
| Feb. 5 | Breiman2001 | Leda Liang &Yash Nair & Zitong Yang | Sang Truong, Michael Salerno |
| Feb. 12 | Gelfond90 | Sophia & Amber | Ziang Song & Wenlong Ji |
| Feb. 19 | Presidents day | ||
| Feb. 26 | efron1979 | Ziang Song & Sang Truong | Aditya Ghosh& Ivy Zhang & Josh Kazdan |
| Mar. 4 | Dempster | Dieka G. & Wenlong Ji | Sang Truong, Sophia Lu |
| Mar. 11 | Cox | Ivy Zhang & Josh Leib Kazdan | Yash Nair, Ran Xie, Rahul Kanekar |