Week 3 Welcome Video

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Time Series Forecasting, Time Series, Time Series Models

審閱

4.6(1,271 個評分)
  • 5 stars
    68.52%
  • 4 stars
    24.31%
  • 3 stars
    5.19%
  • 2 stars
    1.02%
  • 1 star
    0.94%
JM
2019年3月20日

This was a very good and detailed course. I liked this course for two reasons mainly:\n\nIt started from the basics of timeseries analysis, covering theory and secondly it took me gradually to r.

RT
2020年7月16日

Easily one of the best time-series courses online. Although it says "practical", there is plenty of good theory to back up the practice and at the same time not overwhelming or distracting.

從本節課中
Week 3: Stationarity, MA(q) and AR(p) processes
In Week 3, we introduce few important notions in time series analysis: Stationarity, Backward shift operator, Invertibility, and Duality. We begin to explore Autoregressive processes and Yule-Walker equations.

教學方

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    Tural Sadigov

    Lecturer
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    William Thistleton

    Associate Professor

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