Bayesian statistics - the basics

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  • Опубліковано 25 лис 2024

КОМЕНТАРІ • 11

  • @randyluong6275
    @randyluong6275 10 місяців тому +4

    This channel and its owner are treasures.

  • @dawitabathun9402
    @dawitabathun9402 10 місяців тому +3

    You are always the master mind, thanks a lot.

  • @aneksis1303
    @aneksis1303 10 місяців тому +1

    I was always wondering how Bayesian statistics works in an easy explanation. Your video is very helpful! Thank you a lot!

  • @surendrabarsode8959
    @surendrabarsode8959 5 місяців тому +1

    Very well explained. Anyone can easily very well understand these concepts. Thanks!!!

  • @meshackamimo1945
    @meshackamimo1945 9 місяців тому +1

    much appreciations for a beautiful rendering of introductory lessons on Bayesian Stats

  • @asosalih257
    @asosalih257 10 місяців тому +1

    Dear Sir,
    could you tell me a reference book that could help me for more information.
    I am grateful for this wonderful video you made.
    Thank you sir

  • @SK-rj1ti
    @SK-rj1ti 8 місяців тому +1

    Thank you for the video! I remember reading a short paper a few years back that the regular P value is equivalent to the probability that H1 is more likely than H0 with an unspecified (uniform?) prior. Please correct me if I am mis-stating this... Long story short, I can't find that paper anymore. Could you or anyone else please help me find that paper again? Thank you!

    • @SK-rj1ti
      @SK-rj1ti 8 місяців тому

      Sorry, I meant to say that H0 is more likely than H1, of course.

    • @tilestats
      @tilestats  8 місяців тому +1

      I have not seen that paper, but if you like to learn more about p-values, I have a video on that:
      ua-cam.com/video/aYqIs4XZli8/v-deo.html

  • @গোলামমোস্তফা-শ৮থ

    Here , 'Binom(6,8,p)' is this a likelihood or conditional distribution of x given parameter? [ f(x | p) ]
    I think both are same 🙂 or I don't know.

    • @tilestats
      @tilestats  5 місяців тому

      It is the likelihood. When you are trying to estimate the parameter p based on observed data (6 successes out of 8 trials), you are using it as a likelihood function. You may watch this video to get a better understanding:
      ua-cam.com/video/PRpmA6WsY6g/v-deo.html