@@ -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.
