Posterior probabilities of hypotheses and Bayes factors

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Compétences que vous apprendrez

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

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3.9 (630 évaluations)
  • 5 stars
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  • 4 stars
    22%
  • 3 stars
    14%
  • 2 stars
    9%
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    9%
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.

RC

Mar 22, 2020

Great course. Quite difficult though. I wished it was split to two course or maybe an entire specialization dedicated for this.

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

  • 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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