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Alexander Erreygers
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2020 – today
- 2024
- [j4]Alexander Erreygers:
Convex expectations for countable-state uncertain processes with càdlàg sample paths. Int. J. Approx. Reason. 175: 109308 (2024) - [i4]Arne Decadt, Alexander Erreygers, Jasper De Bock:
Extending choice assessments to choice functions: An algorithm for computing the natural extension. CoRR abs/2407.21164 (2024) - 2023
- [c9]Alexander Erreygers:
Sublinear expectations for countable-state uncertain processes. ISIPTA 2023: 210-221 - [c8]Yema Paul, Alexander Erreygers, Jasper De Bock:
Expected time averages in Markovian imprecise jump processes: a graph-theoretic characterisation of weak ergodicity. ISIPTA 2023: 379-389 - 2022
- [j3]Alexander Erreygers, Jasper De Bock:
Markovian imprecise jump processes: Extension to measurable variables, convergence theorems and algorithms. Int. J. Approx. Reason. 147: 78-124 (2022) - [i3]Arne Decadt, Alexander Erreygers, Jasper De Bock, Gert de Cooman:
Decision-making with E-admissibility given a finite assessment of choices. CoRR abs/2204.07428 (2022) - 2021
- [c7]Alexander Erreygers, Jasper De Bock:
Extending the Domain of Imprecise Jump Processes from Simple Variables to Measurable Ones. ISIPTA 2021: 140-149 - [c6]Jasper De Bock, Alexander Erreygers, Thomas Krak:
Sum-product laws and efficient algorithms for imprecise Markov chains. UAI 2021: 1476-1485 - 2020
- [c5]Alexander Erreygers, Enrique Miranda:
A Study of the Set of Probability Measures Compatible with Comparative Judgements. IPMU (2) 2020: 165-179
2010 – 2019
- 2019
- [j2]Alexander Erreygers, Jasper De Bock:
Bounding inferences for large-scale continuous-time Markov chains: A new approach based on lumping and imprecise Markov chains. Int. J. Approx. Reason. 115: 96-133 (2019) - [c4]Alexander Erreygers, Jasper De Bock:
First Steps Towards an Imprecise Poisson Process. ISIPTA 2019: 175-184 - 2018
- [j1]Alexander Erreygers, Cristina Rottondi, Giacomo Verticale, Jasper De Bock:
Imprecise Markov Models for Scalable and Robust Performance Evaluation of Flexi-Grid Spectrum Allocation Policies. IEEE Trans. Commun. 66(11): 5401-5414 (2018) - [c3]Alexander Erreygers, Jasper De Bock:
Computing Inferences for Large-Scale Continuous-Time Markov Chains by Combining Lumping with Imprecision. SMPS 2018: 78-86 - [c2]Thomas E. Krak, Alexander Erreygers, Jasper De Bock:
An Imprecise Probabilistic Estimator for the Transition Rate Matrix of a Continuous-Time Markov Chain. SMPS 2018: 124-132 - [i2]Alexander Erreygers, Cristina Rottondi, Giacomo Verticale, Jasper De Bock:
Imprecise Markov Models for Scalable and Robust Performance Evaluation of Flexi-Grid Spectrum Allocation Policies. CoRR abs/1801.05700 (2018) - [i1]Thomas E. Krak, Alexander Erreygers, Jasper De Bock:
An Imprecise Probabilistic Estimator for the Transition Rate Matrix of a Continuous-Time Markov Chain. CoRR abs/1804.01330 (2018) - 2017
- [c1]Alexander Erreygers, Jasper De Bock:
Imprecise Continuous-Time Markov Chains: Efficient Computational Methods with Guaranteed Error Bounds. ISIPTA 2017: 145-156
Coauthor Index
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