Our paper “Oracle Inequalities for High-dimensional Prediction” has been accepted for publication in the Bernoulli journal. Find an updated version here. Congratulations to Lu Yu, then Master’s student at UW and now PhD student at University of Toronto, and Irina Gaynanova, Assistant Professor at Texas A&M.
Prediction Error Bounds for Linear Regression With the TREX
We have uploaded a new paper that contains theoretical insights about our TREX here on arXiv. Thanks to my collaborators Jacob, Irina, and Christian!
Upcoming exam talks
We have three talks coming up to bring some of our team members closer to their educational goals.
• Thursday, November 30, 2017, 1:30PM, Health Science Building E214 — Yunqi Bu PhD general exam
• Monday, December 4, 2017, 11:30AM, Padelford Hall C14A — David Gold Master’s thesis defense
• Wednesday, December 6, 2017, 10:30AM, Padelford Hall C301 — Rui Zhuang PhD general exam
Come if you can.
Best Poster Award
Rui has received the “Senior Post Award” at this year’s biostats retreat. The project can be found here. Congratulations, Rui!
Online Computing Project
Software geniuses Ben and Saba have uploaded the backend of our online computing project here on GitHub. World-class JavaScript and Python skills, guys! ♔
Data and Software for Brain Imaging Analysis
Prediction With Maximum Regularized Likelihood Estimators
We have uploaded a paper titled “Maximum Regularized Likelihood Estimators: A General Prediction Theory and Applications” here on arXiv. We discuss “slow” rates for MRLEs in a wide range of settings. Cool stuff, Rui! ✌
STAT 311 has started
Find information about the course STAT 311 on Canvas and in the teaching section.
Inference for high-dimensional nested regression
We have established inference for two-stage regression models, with both stages high-dimensional. The paper is available here. Awesome work, David! ⛰
GitHub Repository
Find our new public GitHub page here.
Johannes Lederer 