Quarter Summary

• Aug 3 - 7 | Week 1

  We will get to know each other, the tools we will use, and the policies of the course. We will learn the basics of Bayesian statistics, using prior information. We will use Bayes' Rule for Events and Discrete Random Variables.
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• Aug 10 - 14 | Week 2

  We will learn about the Beta-Binomial model and other conjugate families. We will practice with data to examine sequentiality in Bayesian statistics.
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• Aug 17 - 21 | Week 3

  We will dedicate this week to understanding computational algorithms to approximate the posterior.
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• Aug 24 - 28 | Week 4

  We will cover posterior inference and prediction.
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• Aug 31 - Sept 4 | Week 5

  We will fit linear regression models and evaluate them.
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