Change-point detection is a pivotal statistical framework used to identify abrupt changes in the behaviour of stochastic systems. These models, which integrate inherent randomness, are essential in ...

We present a novel method for deriving tight Monte Carlo confidence intervals for solutions of stochastic dynamic programming equations. Taking some approximate solution to the equation as an input, ...