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Coherent Predictive Inference under Exchangeability with Imprecise Probabilities (Extended Abstract).

, , and . IJCAI, page 4995-4999. ijcai.org, (2017)

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First Steps Towards an Imprecise Poisson Process., and . ISIPTA, volume 103 of Proceedings of Machine Learning Research, page 175-184. PMLR, (2019)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)Imprecise Markov Models for Scalable and Robust Performance Evaluation of Flexi-Grid Spectrum Allocation Policies., , , and . CoRR, (2018)Reintroducing Credal Networks under Epistemic Irrelevance.. Probabilistic Graphical Models, volume 52 of JMLR Workshop and Conference Proceedings, page 123-135. JMLR.org, (2016)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)A Remarkable Equivalence between Non-Stationary Precise and Stationary Imprecise Uncertainty Models in Computable Randomness., , and . ISIPTA, volume 147 of Proceedings of Machine Learning Research, page 244-253. PMLR, (2021)Efficient Computation of Updated Lower Expectations for Imprecise Continuous-Time Hidden Markov Chains., , and . ISIPTA, volume 62 of Proceedings of Machine Learning Research, page 193-204. PMLR, (2017)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)