A Bayesian Approach to Media Mix Modeling (Michael Johns & Zhenyu Wang)

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  • Опубликовано: 25 дек 2024

Комментарии • 7

  • @goelnikhils
    @goelnikhils 2 года назад +4

    Amazing Presentation and Explanation. Congratulations

  • @wuqingli9255
    @wuqingli9255 Год назад

    truly useful and thanks for sharing this! is there any code or use case?

  • @biplobgon
    @biplobgon Год назад

    an insightful presentation, kudos to you guys!👏👏 Any suggestions on how to built this, a media mix model from scratch using lightweightMMM in python?

  • @kapil_vishwakarma
    @kapil_vishwakarma 2 года назад +1

    Link to Jin and colleagues, please.

    • @pymc-devs
      @pymc-devs  2 года назад +3

      Here is a link to the original paper, Bayesian Methods for Media Mix Modeling with Carryover and Shape Effects , research.google/pubs/pub46001/

    • @kapil_vishwakarma
      @kapil_vishwakarma 2 года назад +1

      @@pymc-devs Thank you.

    • @999nico
      @999nico Год назад

      Can you share that code at min. 19 in a GitHub repository? Thanks!