Bayesian inference: a talk with Jim Berger

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Получаемые навыки

Bayesian Statistics, Bayesian Linear Regression, Bayesian Inference, R Programming

Рецензии

3.8 (оценок: 759)

  • 5 stars
    45,58 %
  • 4 stars
    20,68 %
  • 3 stars
    14,75 %
  • 2 stars
    9,35 %
  • 1 star
    9,61 %

WE

31 окт. 2016 г.

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Very good introduction to Bayesian Statistics. Very interactive with Labs in Rmarkdown. Definitely requires thinking and a good math/analytic background is helpful.

FG

15 дек. 2016 г.

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This is my first course on bayesian statistics, I really like it, it was step by step, and helps to clarify lots of concepts of frequentist statistic.

Из урока

Perspectives on Bayesian Applications

This week consists of interviews with statisticians on how they use Bayesian statistics in their work, as well as the final project in the course.

Преподаватели

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    Mine Çetinkaya-Rundel

    Associate Professor of the Practice

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    David Banks

    Professor of the Practice

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    Colin Rundel

    Assistant Professor of the Practice

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    Merlise A Clyde

    Professor

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