 Bayesian experimental design

Bayesian experimental design is a statistical approach that integrates Bayesian principles with the design of experiments. It focuses on the process of planning and conducting experiments in such a way that the data collected can provide the most informative insights regarding the parameters of interest. Here are some key elements of Bayesian experimental design: 1. **Prior Knowledge**: Bayesian methods allow the incorporation of prior information or beliefs about the parameters being studied. This prior knowledge can come from previous experiments, expert opinions, or literature.