Lecture 11C: Autocovariance & Autocorrelation Functions-1

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  • เผยแพร่เมื่อ 24 ม.ค. 2025

ความคิดเห็น • 9

  • @benjamindeworsop8348
    @benjamindeworsop8348 4 ปีที่แล้ว +2

    One of the best lecturers i've ever seen. The flow of ideas is so easy to follow even though the ideas are complex. This is AMAZING!

    • @appliedtime-seriesanalysis7076
      @appliedtime-seriesanalysis7076  4 ปีที่แล้ว +1

      Thank you Sir!

    • @Aikman94
      @Aikman94 3 ปีที่แล้ว +1

      @@appliedtime-seriesanalysis7076 That's so true. You're an incredible teacher who can make a complex topic so easy to get!

  • @pedrocolangelo5844
    @pedrocolangelo5844 3 ปีที่แล้ว +3

    You are the best at teaching time series concepts, seriously. Thank you for this lecture.

    • @appliedtime-seriesanalysis7076
      @appliedtime-seriesanalysis7076  3 ปีที่แล้ว +4

      Thank you Pedro for the kind words of appreciation for the teaching. Time-series concepts are indeed quite involved and have layers of subtleties in them. The effort in this course to present one after the other gradually, starting with the basic building block, random variable.

  • @uditbhatia
    @uditbhatia 5 ปีที่แล้ว +7

    You are such a wonderful teacher! This is superb reference for my classes!

  • @manty1934
    @manty1934 4 ปีที่แล้ว +1

    He is beyond amazing. Love him.

  • @bavithraarumugam
    @bavithraarumugam 3 ปีที่แล้ว +1

    Thanks a lot for this wonderful lecture series! I wish you well 🙏