Welcome to Mathematical Statistics! Statistics is an exciting field with applications in many disciplines including machine learning and data science, the physical sciences, and the social sciences. In this class we will cover the fundamentals of statistics from a mathematical perspective. This means not just learning about statistical tools, but understanding why and how these tools work. During the course you will develop proficiency in using these tools, as well as communicating about their mathematical foundations and applications. You are required to have taken MATH-UA 233 Theory of Probability, so the ability to work with basic ideas from probability is expected.
The project description is posted here.
Instructor: Tyler Chen
Email: tyler.chen@nyu.edu
Class: Tu,Th 2-3:15PM; CIWW 109
Office Hours: M,Tu 6-7PM, Th 10-11AM; CIWW 905
Teaching Assistant: Theodore Plotkin
Recitation 02: 3:30-4:45PM; CIWW 201
Recitation 03: 11:00-12:15PM; CIWW 201
Office Hours: M 2-4PM; zoom: 910 9819 0753
Syllabus
Edstem discussion
Gradescope
Bagel Institute
W=Wasserman, CB=Casella & Berger. Numbers are chapter #’s.