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STA 4853

Introduction to Time Series and Forecasting

3 Credits

Stationarity, autocorrelation, ARMA models; frequency domain methods and the spectral density; forecasting methods; and computationally-oriented application to case studies.

Prerequisites & course information

Grading Scheme: Letter Grade Prerequisite: STA 4210 and STA 4321 .

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