Losses and decision making

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Compétences que vous apprendrez

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

Avis

3.8 (727 évaluations)
  • 5 stars
    45.52%
  • 4 stars
    21.32%
  • 3 stars
    14.58%
  • 2 stars
    9.07%
  • 1 star
    9.49%
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.

SH
29 oct. 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
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

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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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