Decision making

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Duke University
3.9 (578 ratings) | 50K Students Enrolled
View Syllabus

Skills You'll Learn

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

Reviews

3.9 (578 ratings)
  • 5 stars
    263 ratings
  • 4 stars
    127 ratings
  • 3 stars
    83 ratings
  • 2 stars
    52 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.

From the lesson
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.

Taught By

  • 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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