Hidden Markov Models, Sequence Analysis, Data Science, Stochastic Modelling.
They solve the same basic problem: given a sequence of imperfect measurements they tell you what’s going on at every state. But the issue is this: they assume that time is broken into discrete, evenly-spaced steps. If your measurements are taken at irregular intervals this isn’t going to work.