Decision making

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

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3.8(781 個評分)

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WE

2016年10月31日

Very good introduction to Bayesian Statistics. Very interactive with Labs in Rmarkdown. Definitely requires thinking and a good math/analytic background is helpful.

FG

2016年12月15日

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.

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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.

教學方

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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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