Optimal Bayesian Experimental Design
Python module "optbayesexpt" uses optimal Bayesian experimental design methods to control measurement settings in order to efficiently determine model parameters.  Given a parametric model - analogous to a fitting function - Bayesian inference uses each measurement "data point" to refine model parameters.  Using this …