Methods for Time Series Data

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One of (STAT 5147 or STAT 5542)Concepts of trend and dependence in time series data; stationarity and basic model structures for temporal dependence; moving average and autoregressive error structures; analysis in time domain and in frequency domain; parameter estimation, prediction and forecasting; identification of appropriate model structure and model assessment techniques. Possible extended topics including non-linear models, dynamic models, state-space models. (Typically Offered: Fall)→STAT 5615→unlocks 1 courses

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