Losses and decision making

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Skills You'll Learn

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

Reviews

3.8 (727 ratings)
  • 5 stars
    45.52%
  • 4 stars
    21.32%
  • 3 stars
    14.58%
  • 2 stars
    9.07%
  • 1 star
    9.49%
WE
Oct 31, 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 29, 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

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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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