Bayesian inference: a talk with Jim Berger

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Compétences que vous apprendrez

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

Avis

3.9 (625 évaluations)
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WE

Nov 01, 2016

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

SH

Oct 30, 2017

The course is compact that I've learnt a lot of new concepts in a week of coursework. A good sampler of topics related to Bayesian Statistics.

À partir de la leçon
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.

Enseigné par

  • Mine Çetinkaya-Rundel

    Mine Çetinkaya-Rundel

    Associate Professor of the Practice
  • David Banks

    David Banks

    Professor of the Practice
  • Colin Rundel

    Colin Rundel

    Assistant Professor of the Practice
  • Merlise A Clyde

    Merlise A Clyde

    Professor

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