<commit_before>---
layout: defaultCourse
title: STA7233
permalink: /F22_STA7233/
---

# STA 7233: Advanced Regression   
**Lecture.**  12:50 PM - 2:45 PM  (Tues), 12:50 PM - 1:40 PM (Thurs)  
**Instructor.** <NAME> (*<EMAIL>*), 202 Griffin-Floyd  
**Virtual office hours.** TBA [[Zoom link](https://ufl.zoom.us/j/6434957431)]  
**In-person/virtual office hours.** 1:50 PM - 2:50 PM (Thurs) [[Zoom link](https://ufl.zoom.us/j/6434957431)]  
**Syllabus.** [[pdf](https://ufl.instructure.com/courses/463961/files/70933679?wrap=1)] **Lecture link.** [[link](https://ufl.zoom.us/j/95497304717?pwd=<PASSWORD>)]  

Note that you must be logged into your UFL eLearning account to access course materials.  

---------------  

||  **Lecture** ||  **Topics**  ||  
|| 0 (8/25)  || Syllabus, ordinary least squares, ridge regression [[slides](https://ufl.instructure.com/files/70937117/download?download_frd=1)][[lecture](https://ufl.instructure.com/files/70937119/download?download_frd=1)]||  
|| 1 (8/30) || Ridge regression, cross-validation, lasso [[slides](https://ufl.instructure.com/files/71104309/download?download_frd=1)][[lecture](https://ufl.instructure.com/files/71104308/download?download_frd=1)] ||  
|| 2 (9/1) || Lasso computation [[slides](https://ufl.instructure.com/files/71183569/download?download_frd=1)][[lecture](https://ufl.instructure.com/files/71183552/download?download_frd=1)] ||  
|| 3 (9/6) || Lasso variants and theoretical properties [[slides](https://ufl.instructure.com/files/71222125/download?download_frd=1)] ||  
|| 4 (9/8) || Theory for the lasso [[slides](https://ufl.instructure.com/files/71291903/download?download_frd=1)] || 


**Homework 1** (Due Sunday, September 18th at 5:00pm) [[pdf](https://ufl.instructure.com/files/71182985/download?download_frd=1)][[submit](https://ufl.instructure.com/courses/463961/assignments/5390259)]   
**Linear regression notes** [[pdf](https://ufl.instructure.com/files/71183988/download?download_frd=1)]   

-----------------


<commit_msg>Update F22_STA7233.md<commit_after>---
layout: defaultCourse
title: STA7233
permalink: /F22_STA7233/
---

# STA 7233: Advanced Regression   
**Lecture.**  12:50 PM - 2:45 PM  (Tues), 12:50 PM - 1:40 PM (Thurs)  
**Instructor.** <NAME> (*<EMAIL>*), 202 Griffin-Floyd  
**Virtual office hours.** TBA [[Zoom link](https://ufl.zoom.us/j/6434957431)]  
**In-person/virtual office hours.** 1:50 PM - 2:50 PM (Thurs) [[Zoom link](https://ufl.zoom.us/j/6434957431)]  
**Syllabus.** [[pdf](https://ufl.instructure.com/courses/463961/files/70933679?wrap=1)] **Lecture link.** [[link](https://ufl.zoom.us/j/95497304717?pwd=NE9nY0hGcm84aWYzcFVzZXYxOU5mZz09)]  

Note that you must be logged into your UFL eLearning account to access course materials.  

---------------  

||  **Lecture** ||  **Topics**  ||  
|| 0 (8/25)  || Syllabus, ordinary least squares, ridge regression [[slides](https://ufl.instructure.com/files/70937117/download?download_frd=1)][[lecture](https://ufl.instructure.com/files/70937119/download?download_frd=1)]||  
|| 1 (8/30) || Ridge regression, cross-validation, lasso [[slides](https://ufl.instructure.com/files/71104309/download?download_frd=1)][[lecture](https://ufl.instructure.com/files/71104308/download?download_frd=1)] ||  
|| 2 (9/1) || Lasso computation [[slides](https://ufl.instructure.com/files/71183569/download?download_frd=1)][[lecture](https://ufl.instructure.com/files/71183552/download?download_frd=1)] ||  
|| 3 (9/6) || Lasso variants and theoretical properties [[slides](https://ufl.instructure.com/files/71222125/download?download_frd=1)][[lecture](https://ufl.instructure.com/files/71449315/download?download_frd=1)] ||  
|| 4 (9/8) || Theory for the lasso [[slides](https://ufl.instructure.com/files/71291903/download?download_frd=1)][[lecture](https://ufl.instructure.com/files/71449238/download?download_frd=1)] || 
|| 5 (9/13) || Support recovery, debiasing, knockoffs [[slides](https://ufl.instructure.com/files/71448932/download?download_frd=1)]|| 

**Homework 1** (Due Sunday, September 18th at 5:00pm) [[pdf](https://ufl.instructure.com/files/71182985/download?download_frd=1)][[submit](https://ufl.instructure.com/courses/463961/assignments/5390259)]   
**Linear regression notes** [[pdf](https://ufl.instructure.com/files/71183988/download?download_frd=1)]   

-----------------



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