Sequential Inverse Problems Bayesian Principles and the Logistic Map Example
Sequential Inverse Problems Bayesian Principles and the Logistic Map Example
Bayesian statistics provides a general framework for solving inverse problems, but is not without interpretation and implementation problems. This paper discusses difficulties arising from the fact that forward models are always in error to some extent. Using a simple example based on the oneādimensional logistic map, we argue that, when ā¦