STAT 902 - Theory of Probability 2
STAT 908 - Statistical Inference
Instructor: Dr. Pengfei Li
Textbook: Lecture note
STAT 946 - Topics in Statistics: High dim in Statistics
Instructor: Dr. David Saunders, Adam Kolkiewicz
Textbook: Martin J. Wainwright, High-Dimensional Statistics A Non-Asymptotic Viewpoint
STAT 831: Generalized Linear Models and Applications
Instructor: Dr. Leilei Zeng
STAT 841: Statistical Learning-Classification
Instructor: Dr. Ali Ghodsi
Textbook: Hastie, Tibshirani, Friedman, Elements of Statistical Learning
Instructor: Dr. Lei Wu, Princeton University
MFG: numerical methods and applications in machine learning
Instructor: Dr. Mathieu Lauriere, Princeton University
Online Open Probability School (Some mini-courses)
A PDE approach to mean-field disordered systems
Instructor: Jean-Christophe Mourrat (NYU)
Lecture note: See here
MATH 580: Ergodic Theory
Instructor: Christopher Hoffman (University of Washington), Anthony Quas (University of Victoria)
Textbook: Ergodic Theory by Karl Petersen
Ising model on random planar map and related topics (Tsinghua University)
Instructor: Dr. Linxiao Chen (ETH Zurich)
Textbook: TBD
MATH 663: Topics in Applied Mathematics I, Stochastic Differential Equations
Instructor: Dr. Yaozhong Hu (UAlberta)
Textbook: TBD
STAT 560: Bayesian statistics, Online.
Instructor: Dr. Michelle Miranda
Textbook: Bayesian Analysis
MATH 663: Optimal Transport +Economics (University of Alberta), Online.
Instructor: Dr. Brendan Pass (UAlberta)
ECE 503: Optimization for Machine Learning
Instructor: Dr. Lei Zhao
Conformal Invariance of 2D Lattice Models (Tsinghua University), Online.
Instructor: Dr. Hao Wu
Course page: http://ymsc.tsinghua.edu.cn/cn/content/show/190-237
MATH 610 E: Online Open Probability School (UBC)
Instructor: Dr. Ed Perkins and Dr. Mathav Murugan (UBC)
Lecture note: https://github.com/holdenlee/oops (By Holden Lee)
MATH 550: Advanced Partial Differential Equations
Instructor: Dr. Yu-ting Chen
Textbook: Partial Differential Equations: Second Edition by Lawrence C. Evans, Analysis by Elliott H. Lieb, Michael Loss.
CSC 503: Data Mining
Classical Fourier Analysis(UCLA, by Prof. Tao), Online
MATH 585: Seminar
Instructor: Dr. Ryan Budney
MATH 530: Real Analysis
Instructor: Dr. Chris Bose
Textbook: Real Analysis: Modern Techniques and Their Applications by Gerald B. Folland
MATH 452: Stochastic Processes
Instructor: Dr. Gourab Ray
Textbook: Introduction to Probability Models (12th Edition) by Sheldon Ross