From ed3bd5b6062100491d1bb27b9785740bd868a150 Mon Sep 17 00:00:00 2001
From: Bas Nijholt <basnijholt@gmail.com>
Date: Tue, 10 Sep 2019 16:29:47 +0200
Subject: [PATCH] add comma

---
 paper.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/paper.md b/paper.md
index a223819..3a6edc5 100755
--- a/paper.md
+++ b/paper.md
@@ -66,7 +66,7 @@ It provides auxiliary functionality such as live-plotting, inspecting the data a
 Optimal experiment design (OED) is a field of statistics that minimizes the number of experimental runs needed to estimate specific parameters, and thereby, it reduces the costs of experimentation.[@emery1998optimal]
 It works with many degrees of freedom and can consider constraints, for example, when the sample space contains settings that are practically infeasible.
 One form of OED is response-adaptive design[@hu2006theory], which concerns adaptive sampling designs for statistical experiments.
-Here the acquired data (i.e., the observations) are used to adjust the experiment as it is in process.
+Here, the acquired data (i.e., the observations) are used to adjust the experiment as it is in process.
 In a typical non-adaptive experiment, decisions on how to sample are made and fixed in advance.
 
 #### Plotting and low dimensional integration uses local sampling.
-- 
GitLab