# Discussion on "Model Confidence Bounds for Variable Selection" by Yang Li, Yuetian Luo, Davide Ferrari, Xiaonan Hu, and Yichen Qin

## TL;DR

This paper comments on the methodology of model confidence bounds for variable selection, discussing its implications and potential improvements in statistical model selection techniques.

## Contribution

It provides a critical discussion on the existing model confidence bounds approach, highlighting areas for refinement and future research directions.

## Key findings

- Highlights limitations of current confidence bounds methods
- Suggests potential improvements for variable selection accuracy
- Encourages further exploration of confidence bounds in model selection

## Abstract

This is a comment on the article mentioned in the title.