Course: STAT 30810
Title: High Dimensional Time Series Analysis
Instructor(s): Wei Biao Wu
Teaching Assistant(s): Zhipeng Lou
Class Schedule: Sec 01: MWF 9:30 AM-10:20 AM in Rosenwald 432
Description: This course will include lectures on the following topics: review of asymptotics for low dimensional time series analysis (linear and nonlinear processes; nonparametric methods; spectral and time domain approaches); covariance, precision, and spectral density matrix estimation for high dimensional time series; factor models; estimation of high dimensional vector autoregressive processes; prediction; and high dimensional central limit theorems under dependence.