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Courses - Spring 2026
STAT
Statistics and Probability Department Site
STAT730
Time Series Analysis
Credits: 3
Grad Meth: Reg, Aud, S-F
Recommended: STAT701 and STAT650.
Additional information: To prepare for this course, students should take STAT700, and complete a graduate course in analysis, or consult with the course instructor before registering.
The methodology of probabilistic description and statistical analysis of (primarily stationary) random sequences and processes. Correlation functions, Gaussian processes, Hilbert-space methods including Wold decomposition and spectral representation, periodogram and estimation of spectral densities, parameter estimation and model identification for ARMA processes, linear filtering, Kalman-Bucy filtering, sampling theorems for continuous-time series, multivariate time series.