Explore time series analysis through matrix estimation in this 30-minute lecture by Devavrat Shah from MIT. Delve into sample questions, matrix estimation techniques, time series imputation, and algorithm development. Gain insights into basic theorems, experimental results, and linear regression applications in the context of societal networks.
Overview
Syllabus
Intro
Sample Questions
Matrix Estimation
Time Series Imputation
Algorithm
Basic Theorem
Experimental Results
Linear Regression
Taught by
Simons Institute
