Robust Bayes analysis

Robust Bayes Analysis is a way of using statistics to make predictions and decisions. It uses a branch of mathematics called Bayesian statistics to find the best possible answers to a given problem. It works by combining information from a variety of sources, like survey results, past data, and expert opinions, to come up with the best prediction or solution. To be considered “robust” Bayes Analysis must be accurate and repeatable, so that it can be applied to different situations and still be reliable.