Posterior probabilities of hypotheses and Bayes factors

Loading...
Visualiser le programme de cours

Compétences que vous apprendrez

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

Avis

3.8 (741 évaluations)
  • 5 stars
    45.74%
  • 4 stars
    21.05%
  • 3 stars
    14.43%
  • 2 stars
    9.17%
  • 1 star
    9.58%
WE
31 oct. 2016

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 déc. 2016

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.

À partir de la leçon
Decision Making
In this module, we will discuss Bayesian decision making, hypothesis testing, and Bayesian testing. By the end of this week, you will be able to make optimal decisions based on Bayesian statistics and compare multiple hypotheses using Bayes Factors.

Enseigné par

  • Placeholder

    Mine Çetinkaya-Rundel

    Associate Professor of the Practice
  • Placeholder

    David Banks

    Professor of the Practice
  • Placeholder

    Colin Rundel

    Assistant Professor of the Practice
  • Placeholder

    Merlise A Clyde

    Professor

Explorer notre catalogue

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