Alexander Erreygers

According to our database, Alexander Erreygers authored at least 15 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Convex expectations for countable-state uncertain processes with càdlàg sample paths.

Alexander Erreygers

Int. J. Approx. Reason., 2024

Extending choice assessments to choice functions: An algorithm for computing the natural extension.

Arne Decadt, Alexander Erreygers, Jasper De Bock

CoRR, 2024

2023

Expected time averages in Markovian imprecise jump processes: a graph-theoretic characterisation of weak ergodicity.

Yema Paul, Alexander Erreygers, Jasper De Bock

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023

Sublinear expectations for countable-state uncertain processes.

Alexander Erreygers

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023

2022

Markovian imprecise jump processes: Extension to measurable variables, convergence theorems and algorithms.

Alexander Erreygers, Jasper De Bock

Int. J. Approx. Reason., 2022

Decision-making with E-admissibility given a finite assessment of choices.

Arne Decadt, Alexander Erreygers, Jasper De Bock, Gert de Cooman

CoRR, 2022

2021

Sum-product laws and efficient algorithms for imprecise Markov chains.

Jasper De Bock, Alexander Erreygers, Thomas Krak

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Extending the Domain of Imprecise Jump Processes from Simple Variables to Measurable Ones.

Alexander Erreygers, Jasper De Bock

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

2020

A Study of the Set of Probability Measures Compatible with Comparative Judgements.

Alexander Erreygers, Enrique Miranda

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

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

First Steps Towards an Imprecise Poisson Process.

Alexander Erreygers, Jasper De Bock

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

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

An Imprecise Probabilistic Estimator for the Transition Rate Matrix of a Continuous-Time Markov Chain.

Thomas E. Krak, Alexander Erreygers, Jasper De Bock

Proceedings of the Uncertainty Modelling in Data Science, 2018

Computing Inferences for Large-Scale Continuous-Time Markov Chains by Combining Lumping with Imprecision.

Alexander Erreygers, Jasper De Bock

Proceedings of the Uncertainty Modelling in Data Science, 2018

2017

Imprecise Continuous-Time Markov Chains: Efficient Computational Methods with Guaranteed Error Bounds.

Alexander Erreygers, Jasper De Bock

Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017