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README.md

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@@ -3,6 +3,13 @@ A PhD-level course at [EMAp](https://emap.fgv.br/en).
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Syllabus [here](https://emap.fgv.br/disciplina/doutorado/estatistica-bayesiana) and tentative programme [here](https://docs.google.com/spreadsheets/d/1kuE-_NeSQzaBNnWc9vezXSbKfSIGQoLdmmb2zRDbOng/edit?usp=sharing).
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To compile the [slides](https://github.com/maxbiostat/BayesianStatisticsCourse/blob/main/slides/bayes_stats.pdf), you'll need to do
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```bash
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pdflatex -interaction=nonstopmode --shell-escape bayes_stats
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```
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a few times to get it right.
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## Pre-requisites
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- Probability theory with measure. [Jeff Rosenthal](http://probability.ca/jeff/)'s book, [A First Look at Rigorous Probability Theory](http://probability.ca/jeff/grprobbook.html), is a good resource.
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- Classical Statistics at the same level as [Mathematical Statistics](https://emap.fgv.br/disciplina/doutorado/mathematical-statistics). For a review, I suggest

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