From ffe80c3caf1e033fc5ae9a16acd50fa0b8de66b0 Mon Sep 17 00:00:00 2001 From: Santiago Castro Date: Tue, 18 Apr 2017 01:26:06 -0300 Subject: [PATCH] Fix broken Markdown headings --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index d769d31..27a56b0 100644 --- a/README.md +++ b/README.md @@ -1,19 +1,19 @@ Bayesian Data Analysis *with PyMC* ====================== -###For those in a hurry +### For those in a hurry My first attempt to adapt to Python (using PyMC) the R code from "Doing Bayesian Data Analysis", by John K. Krushcke. -####Models done so far: +#### Models done so far: - Inferring two binomials proportions and their difference; - Hierarchical prior for Bernoulli likelihood; - Metric variable for a single group; - Simple linear regression; - Oneway ANOVA. -###Quick References +### Quick References >1. "Doing Bayesian Data Analysis", by John K. Krushcke >[http://doingbayesiandataanalysis.blogspot.com.br/](http://doingbayesiandataanalysis.blogspot.com.br/) > @@ -24,7 +24,7 @@ by John K. Krushcke. >[http://pymc-devs.github.io/pymc/](http://pymc-devs.github.io/pymc/) -###For those with some time to spare +### For those with some time to spare After many years avoiding any book on statistics, I found myself interested on bayesian methods when I first heard about them in the NLTK (Natural Language ToolKit for Python) Book.