Week 3 Welcome Video

video-placeholder
Loading...
查看授課大綱

您將學習的技能

Time Series Forecasting, Time Series, Time Series Models

審閱

4.6(1,405 個評分)

  • 5 stars
    68.82%
  • 4 stars
    24.19%
  • 3 stars
    5.05%
  • 2 stars
    1.06%
  • 1 star
    0.85%

JM

2019年3月20日

Filled StarFilled StarFilled StarFilled StarFilled Star

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

Filled StarFilled StarFilled StarFilled StarFilled Star

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

  • Placeholder

    Tural Sadigov

    Lecturer

  • Placeholder

    William Thistleton

    Associate Professor

探索我們的目錄

免費加入並獲得個性化推薦、更新和優惠。