Bayesian Inference for Binomial Proportions by Daniel Lakens

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  • Опубликовано: 22 дек 2024

Комментарии • 7

  • @antonsosadchijs9204
    @antonsosadchijs9204 3 года назад +1

    Well explained. Thanks, Daniel. Cheers from the Technical University of Denmark!

  • @andypandy1ify
    @andypandy1ify 4 года назад +1

    Daniel I'm a statistics masters student and this is excellent.
    Did you use R to product the graphs and find the intervals?

    • @guillermo6747
      @guillermo6747 3 года назад

      Could you help me? I have a question about a function which be conditional to Bernoulli variable. I was thinking to could use the bayesian estimation with a function beta but I might simulate with monte carlo method in R. What do you think?. Thanks!

  • @jas-hy3sy
    @jas-hy3sy 4 года назад

    6:00 If you're using the beta(1,1) prior to determine the point estimate of the parameter, the posterior is affected because the mean of the posterior distribution is = (alpha + y) / (n + alpha + beta). This mean is different from the MLE. No? ruclips.net/video/25-PpMSrAGM/видео.html

  • @9888622400
    @9888622400 4 года назад

    mamzing!!
    mama miyaaa

  • @eunylsonlopes4774
    @eunylsonlopes4774 4 года назад

    Btw, Thomas Bayes was a priest. Good video though!

  • @andypandy1ify
    @andypandy1ify 4 года назад +1

    Daniel I'm a statistics masters student and this is excellent.
    Did you use R to produce the graphs and find the intervals?