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Preceptor’s Primer for Bayesian Data Science

Table of contents

Welcome
Preamble
Shopping Week
1 Visualization
2 Wrangling
3 Functions
4 Rubin Causal Model
5 Probability
6 One Parameter
7 Two Parameters
8 Three Parameters
9 Four Parameters
10 Five Parameters
11 N Parameters
12 Case Studies
Tools
Shiny
Maps
IPUMS
Animation
References

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12 Case Studies

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11 N Parameters

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12 Case Studies

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"Preceptor’s Primer for Bayesian Data Science" was written by David Kane.

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