From ab5e989abef3e4e0fc563722d38761db8d06e9c5 Mon Sep 17 00:00:00 2001 From: egor Date: Thu, 27 Aug 2015 00:48:39 +0300 Subject: [PATCH] removed couple of commas --- manuscript/01_introduction.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/manuscript/01_introduction.md b/manuscript/01_introduction.md index c80ca80..fb4be9a 100644 --- a/manuscript/01_introduction.md +++ b/manuscript/01_introduction.md @@ -38,8 +38,7 @@ a population from a noisy sample. Without statistical inference we're simply living within our data. With statistical inference, we're trying to generate new knowledge. -Knowledge and parsimony, -(using simplest reasonable models to explain complex phenomena), go hand in hand. +Knowledge and parsimony (using simplest reasonable models to explain complex phenomena) go hand in hand. Probability models will serve as our parsimonious description of the world. The use of probability models as the connection between our data and a populations represents the most effective way to obtain inference.