Bayesian filtering provides a principled framework for estimating the hidden dynamics of a system from noisy or incomplete observations. At its core lies the recursive computation of a posterior ...

The increasing interest in Bayesian group sequential design is due to its potential to reinforce efficiency in clinical trials, shorten drug development time, and enhance the accuracy of statistical ...