General Homework Information

• Homework assignments will be released on Canvas.
• Submission Guidelines:
  • Homeworks must be submitted by 11:59pm on the due date.
  • You are allowed 3 LATE DAYs throughout the entire quarter, as detailed in Late Day Policy section.
  • All homeworks should be submitted via Gradescope.
  • You will receive an invite to Gradescope for STATS207307 Fall 2022. If you have not received an invite email after the first few days of class, first log in to Gradescope with your @stanford.edu email and see whether you find the course listed; if not, please post a private message on Ed for us to add you.
• Programming in R and Python:
  • We will use R and Python for the programming portions of the assignments. Python is a powerful general-purpose programming language with excellent libraries for statistical computations and visualizations. During the first week of the quarter, we will host a tutorial session to jump-start your transition into working in Python. Slides for the tutorial session.

Homework Assignments

• Homework 0 (basics), due 9/29
• Homework 1 (stationarity, ACF, data wrangling), due 10/12
• Homework 2 (ARMA models, forecasting, estimation), due 10/26
• Homework 3 (VARMA/SSMs, filtering/smoothing, HMMs, estimation of SSMs), due 11/9
• Homework 4 (RNNs, convnets), due 11/30