We are motivated by real-world data that exhibit severe sampling irregularities such as
geological or paleoclimate measurements. Counting forbidden patterns has been shown to
be a powerful tool towards the detection of determinism in noisy time series. They constitute
a set of ordinal symbolic patterns that cannot be realised in time series generated by
deterministic systems. The reliability of the estimator of the relative count of forbidden
patterns from irregularly sampled data has been explored in two recent studies. In this …