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Randomness is inherently imprecise., and . Int. J. Approx. Reason., (2022)Markovian imprecise jump processes: Extension to measurable variables, convergence theorems and algorithms., and . Int. J. Approx. Reason., (2022)Imprecise stochastic processes in discrete time: global models, imprecise Markov chains, and ergodic theorems., , and . Int. J. Approx. Reason., (2016)On the (dis)similarities between stationary imprecise and non-stationary precise uncertainty models in algorithmic randomness., , and . Int. J. Approx. Reason., (2022)Coherent Predictive Inference under Exchangeability with Imprecise Probabilities., , and . J. Artif. Intell. Res., (2015)Decision-making with E-admissibility given a finite assessment of choices., , , and . CoRR, (2022)Imprecise Markov Models for Scalable and Robust Performance Evaluation of Flexi-Grid Spectrum Allocation Policies., , , and . CoRR, (2018)The Smallest Probability Interval a Sequence Is Random for: A Study for Six Types of Randomness., , and . ECSQARU, volume 12897 of Lecture Notes in Computer Science, page 442-454. Springer, (2021)Expected time averages in Markovian imprecise jump processes: a graph-theoretic characterisation of weak ergodicity., , and . ISIPTA, volume 215 of Proceedings of Machine Learning Research, page 379-389. PMLR, (2023)Imprecise Continuous-Time Markov Chains: Efficient Computational Methods with Guaranteed Error Bounds., and . ISIPTA, volume 62 of Proceedings of Machine Learning Research, page 145-156. PMLR, (2017)