Research Explorer

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Researcher

Alexander Erreygers

Awards & Distinctions

24 Results

2025

A convenient characterisation of convergent upper transition operators

Jasper De BockAlexander ErreygersFloris Persiau

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

Arne DecadtAlexander ErreygersJasper De Bock

A1 Journal Article in INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

2024

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

Alexander Erreygers

A1 Journal Article in INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

2023

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

Arne DecadtAlexander ErreygersJasper De BockGert de Cooman

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

Yema PaulAlexander ErreygersJasper De Bock

Sublinear expectations for countable-state uncertain processes

Alexander Erreygers

2022

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

Alexander ErreygersJasper De Bock

A1 Journal Article in INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

2021

A graphical study of comparative probabilities

Alexander ErreygersEnrique Miranda

A1 Journal Article in JOURNAL OF MATHEMATICAL PSYCHOLOGY

Extending the domain of imprecise jump processes from simple variables to measurable ones

Alexander ErreygersJasper De Bock

Markovian imprecise jump processes : foundations, algorithms and applications

Alexander ErreygersJasper De BockGert De CoomanHerwig Bruneel

Sum-product laws and efficient algorithms for imprecise Markov chains

Jasper De BockAlexander ErreygersThomas Krak

2020

A study of the set of probability measures compatible with comparative judgements

Alexander ErreygersEnrique Miranda

2019

An imprecise probabilistic estimator for the transition rate matrix of a continuous-time Markov Chain

Thomas KrakAlexander ErreygersJasper De Bock

Bounding inferences for large-scale continuous-time Markov chains : a new approach based on lumping and imprecise Markov chains

Alexander ErreygersJasper De Bock

A1 Journal Article in INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Computing inferences for large-scale continuous-time Markov chains by combining lumping with imprecision

Alexander ErreygersJasper De Bock

First steps towards an imprecise Poisson process

Alexander ErreygersJasper De Bock

Optimal control of a linear system subject to partially specified input noise

Alexander ErreygersJasper De BockGert De CoomanArthur Van Camp

A1 Journal Article in INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

2018

Imprecise Markov models for scalable and robust performance evaluation of Flexi-Grid spectrum allocation policies

Alexander ErreygersCristina RottondiGiacomo VerticaleJasper De Bock

A1 Journal Article in IEEE TRANSACTIONS ON COMMUNICATIONS

2017

Handling the state space explosion of Markov chains : how lumping introduces imprecision (almost) inevitably

Alexander ErreygersJasper De Bock

Imprecise continuous-time Markov chains : efficient computational methods with guaranteed error bounds

Alexander ErreygersJasper De Bock

Modelling Spectrum Assignment in a Two-Service Flexi-Grid Optical Link with Imprecise Continuous-Time Markov Chains

Crisitina RottondiAlexander ErreygersGiacomo VerticaleJasper De Bock

Modelling spectrum assignment in a two-service flexi-grid optical link with imprecise continuous-time Markov chains

Cristina RottondiAlexander ErreygersGiacomo VerticaleJasper De Bock

2016

LQ optimal control for partially specified input noise

Alexander ErreygersJasper De BockGert De CoomanArthur Van Camp

2015

Optimal control of linear systems with quadratic cost and imprecise forward irrelevant input noise

Alexander ErreygersJasper De BockGert de CoomanArthur Van Camp