STATS205: Introduction to Nonparametric Statistics

Administrative information
Time/location:
Instructor: Tengyu Ma
Course assistants:
Contact: Please use Piazza for all questions and discussions.
Course content
Description: nonparametric regression and nonparametric density estimation, estimating CDFs, nearest neighbor algorithms, kernel method, kernel density estimation, Gaussian process, modern nonparametric methods and connection to neural networks.
Logistics and FAQ

Please see this doc for all the logistic information and some frequently asked questions.
Schedule
Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7
  • Wed 05/12: Homework 3 due
  • Thu 05/13: Homework 4 out
  • Fri 05/14: Lecture 7
Week 8
  • Fri 05/21: Lecture 8
Week 9
  • Wed 05/26: Homework 4 due
  • Fri 05/28: Lecture 9
Week 10
  • Wed 06/02: Final project due
  • Fri 06/04: Lecture 10