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What is MIT 14.384 Time Series Analysis Course about?

This document discusses methods for estimating the spectrum of a time series, including the naïve approach, kernel estimator, and information criteria approaches. It explains that the naïve approach is not consistent and the kernel estimator is consistent under certain conditions. It then discusses using information criteria like AIC, BIC, and HQIC to select the order of an autoregressive model, proving BIC is strongly consistent while AIC is not consistent. It also notes the criteria that minimize forecast

Author

MOHAMMAD

Language

EN