Causality: An Introduction | How (naive) statistics can fail us

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  • เผยแพร่เมื่อ 6 ก.พ. 2025

ความคิดเห็น • 30

  • @halaction
    @halaction 3 ปีที่แล้ว +7

    Loved series on causality. Your channel is underrated

    • @ShawhinTalebi
      @ShawhinTalebi  3 ปีที่แล้ว +1

      Thanks! That is very kind of you to say. I’m glad you enjoyed the series.

  • @Nalber3
    @Nalber3 2 ปีที่แล้ว +3

    Interesting topic, I recently discovered Judea Pearl and so I'm excited about the topic that I'm seriously considering to use it for my PhD in Chemistry to study energy storage materials

    • @ShawhinTalebi
      @ShawhinTalebi  2 ปีที่แล้ว

      That sounds very interesting!!

  • @ShawhinTalebi
    @ShawhinTalebi  2 ปีที่แล้ว

    More in this series 👇
    Causal Inference: th-cam.com/video/PFBI-ZfV5rs/w-d-xo.html
    Causal Discovery: th-cam.com/video/tufdEUSjmNI/w-d-xo.html
    Intro to Causal Effects: th-cam.com/video/BOPOX_mTS0g/w-d-xo.html
    Propensity Scores: th-cam.com/video/dm-BWjyYQpw/w-d-xo.html
    Do-operator: th-cam.com/video/dejZzJIZdow/w-d-xo.html
    DAGs: th-cam.com/video/ASU5HG5EqTM/w-d-xo.html
    Regression techniques: th-cam.com/video/O72uByJlnMw/w-d-xo.html
    Towards Data Science article: towardsdatascience.com/causality-an-introduction-f8a3f6ac4c4a?sk=970d8785697588735e3cb3dd7bbf8cf9a

  • @evelynlim6230
    @evelynlim6230 7 หลายเดือนก่อน

    Thank you so much for your teaching ❤

  • @ifycadeau
    @ifycadeau 3 ปีที่แล้ว +2

    So insightful and casual!

  • @ketalesto
    @ketalesto 2 ปีที่แล้ว +1

    Nice, underrated channel here

  • @zhanbolatmagzumov6409
    @zhanbolatmagzumov6409 3 ปีที่แล้ว +1

    Thank you so much! Very interesting. Would you add co-integration and its connection with Causality?

    • @ShawhinTalebi
      @ShawhinTalebi  3 ปีที่แล้ว +1

      Thanks for your comment Zhanbolat! I don't have anything on cointegration, but in a future video on causal discovery I will touch on Granger causality which seems to have some overlap.
      I have considered the possibility of doing an "appendix" to this series and cointegration could make its way in. Thanks again!

  • @sumitkumar-el3kc
    @sumitkumar-el3kc 9 หลายเดือนก่อน

    Can't causality be bidirectional? For e.g. X is influencing Y and Y is also influencing X.

    • @ShawhinTalebi
      @ShawhinTalebi  9 หลายเดือนก่อน +1

      For sure. The framework I discuss here, however, focuses on causal relationships that can be represented by a DAG i.e. unidirectional effects.

    • @sumitkumar-el3kc
      @sumitkumar-el3kc 9 หลายเดือนก่อน

      @@ShawhinTalebi thank you so much sir

  • @AndresVeraF
    @AndresVeraF 3 ปีที่แล้ว +1

    Thanks you! i like this videos

  • @EZE247365
    @EZE247365 3 ปีที่แล้ว +1

    informative 😎👌🏾

  • @chinonsoahuna7385
    @chinonsoahuna7385 3 ปีที่แล้ว +1

    Totally rad

  • @arvoli2596
    @arvoli2596 3 ปีที่แล้ว +1

    #TED TALKS

  • @ifycadeau
    @ifycadeau 3 ปีที่แล้ว +1

    First

  • @KongQuestCo
    @KongQuestCo 3 ปีที่แล้ว +3

    I’d share this on Instagram but it’s down