Imprecise Continuous-Time Markov Chains: Efficient Computational Methods with Guaranteed Error Bounds. - Alexander Erreygers; Jasper De Bock (ISIPTA, 2017)

Computing Inferences for Large-Scale Continuous-Time Markov Chains by Combining Lumping with Imprecision. - Alexander Erreygers; Jasper De Bock (SMPS, 2018)

An Imprecise Probabilistic Estimator for the Transition Rate Matrix of a Continuous-Time Markov Chain. - Thomas E. Krak; Alexander Erreygers; Jasper De Bock (SMPS, 2018)

Imprecise Markov Models for Scalable and Robust Performance Evaluation of Flexi-Grid Spectrum Allocation Policies. - Alexander Erreygers; Cristina Rottondi; Giacomo Verticale; Jasper De Bock (IEEE Trans. Commun., 2018)

First Steps Towards an Imprecise Poisson Process. - Alexander Erreygers; Jasper De Bock (ISIPTA, 2019)

Bounding inferences for large-scale continuous-time Markov chains: A new approach based on lumping and imprecise Markov chains. - Alexander Erreygers; Jasper De Bock (Int. J. Approx. Reason., 2019)

A Study of the Set of Probability Measures Compatible with Comparative Judgements. - Alexander Erreygers; Enrique Miranda 001 (IPMU (2), 2020)

Extending the Domain of Imprecise Jump Processes from Simple Variables to Measurable Ones. - Alexander Erreygers; Jasper De Bock (ISIPTA, 2021)

Sum-product laws and efficient algorithms for imprecise Markov chains. - Jasper De Bock; Alexander Erreygers; Thomas Krak (UAI, 2021)

Decision-making with E-admissibility given a finite assessment of choices. - Arne Decadt; Alexander Erreygers; Jasper De Bock; Gert de Cooman (CoRR, 2022)

Markovian imprecise jump processes: Extension to measurable variables, convergence theorems and algorithms. - Alexander Erreygers; Jasper De Bock (Int. J. Approx. Reason., 2022)

Sublinear expectations for countable-state uncertain processes. - Alexander Erreygers (ISIPTA, 2023)

Expected time averages in Markovian imprecise jump processes: a graph-theoretic characterisation of weak ergodicity. - Yema Paul; Alexander Erreygers; Jasper De Bock (ISIPTA, 2023)

Convex expectations for countable-state uncertain processes with càdlàg sample paths. - Alexander Erreygers (Int. J. Approx. Reason., 2024)

A convenient characterisation of convergent upper transition operators. - Jasper De Bock; Alexander Erreygers; Floris Persiau (ISIPTA, 2025)

Extending choice assessments to choice functions: An algorithm for computing the natural extension. - Arne Decadt; Alexander Erreygers; Jasper De Bock (Int. J. Approx. Reason., 2025)

A decision-theoretic approach to dealing with uncertainty in quantum mechanics. - Keano De Vos; Gert de Cooman; Alexander Erreygers; Jasper De Bock (CoRR, 2025)