Bayesian inference: a talk with Jim Berger

Loading...
Eye
Visualiser le programme de cours

Compétences que vous apprendrez

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

Avis

3.9 (575 notes)
  • 5 stars
    261 ratings
  • 4 stars
    127 ratings
  • 3 stars
    83 ratings
  • 2 stars
    51 ratings
  • 1 star
    53 ratings
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

Explorer notre catalogue

Rejoignez-nous gratuitement et obtenez des recommendations, des mises à jour et des offres personnalisées.