Research Explorer

Your browser does not support JavaScript or JavaScript is not enabled. Without JavaScript some functions of this webapplication may be disabled or cause error messages. To enable JavaScript, please consult the manual of your browser or contact your system administrator.

Researcher

Jasper De Bock

Publications & Research Data

Awards & Distinctions

110 Results

2026

A comparative study of the smallest probability intervals for which a binary sequence is random

Floris PersiauGert de CoomanJasper De Bock

U Journal Article in Journal of Computer and System Sciences

Conservative decision-making with sets of probabilities : how to infer new choices from previous ones

Arne DecadtAlexander ErreygersJasper De Bock

A1 Journal Article in FUZZY SETS AND SYSTEMS

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

Randomness and imprecision : from supermartingales to randomness tests

Gert de CoomanFloris PersiauJasper De Bock

A1 Journal Article in INFORMATION AND COMPUTATION

Robustness quantification: a new method for assessing the reliability of the predictions of a classifier

Adrian DetavernierJasper De Bock

2024

Imprecise probabilities in algorithmic randomness

Floris PersiauJasper De BockGert de Cooman

The logic behind desirable sets of things, and its filter representation

Gert de CoomanArthur Van CampJasper De Bock

A1 Journal Article in INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

2023

A theory of desirable things

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

Arne DecadtAlexander ErreygersJasper De BockGert de Cooman

Desirable sets of things and their logic

Gert de CoomanArthur Van CampJasper De Bock

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

Yema PaulAlexander ErreygersJasper De Bock

Indistinguishability through exchangeability in quantum mechanics?

Keano De VosGert de CoomanJasper De Bock

2022

Imprecise discrete-time Markov chains

Bookchapter in Uncertainty in engineering : introduction to methods and applications

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

On a notion of independence proposed by Teddy Seidenfeld

Jasper De BockGert de Cooman

Bookchapter in Reflections on the foundations of probability and statistics : essays in honor of Teddy Seidenfeld

On the (dis)similarities between stationary imprecise and non-stationary precise uncertainty models in algorithmic randomness

Floris PersiauJasper De BockGert de Cooman

A1 Journal Article in INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Randomness is inherently imprecise

Gert de CoomanJasper De Bock

A1 Journal Article in INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Uncertainty in engineering : introduction to methods and applications

Upper expectations for discrete-time imprecise stochastic processes : in practice, they are all the same!

Natan T'JoensGert De CoomanJasper De Bock

2021

A particular upper expectation as global belief model for discrete-time finite-state uncertain processes

Natan T'JoensJasper De BockGert De Cooman

A1 Journal Article in INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

A remarkable equivalence between non-stationary precise and stationary imprecise uncertainty models in computable randomness

Floris PersiauJasper De BockGert de Cooman

Average behaviour in discrete-time imprecise Markov chains : a study of weak ergodicity

Natan T'JoensJasper De Bock

A1 Journal Article in INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Average behaviour of imprecise Markov chains : a single pointwise ergodic theorem for six different models

Jasper De BockNatan T'Joens

Continuous-time imprecise-Markov chains : theory and algorithms

Thomas KrakGert De CoomanJasper De BockArno Siebes

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

Alexander ErreygersJasper De Bock

Game-theoretic upper expectations for discrete-time finite-state uncertain processes

Natan T'JoensJasper De BockGert De Cooman

A1 Journal Article in JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS

Global upper expectations for discrete-time stochastic processes : in practice, they are all the same!

Natan T'JoensJasper De Bock

Markovian imprecise jump processes : foundations, algorithms and applications

Alexander ErreygersJasper De BockGert De CoomanHerwig Bruneel

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

Randomness and imprecision : a discussion of recent results

Gert de CoomanJasper De Bock

Sum-product laws and efficient algorithms for imprecise Markov chains

Jasper De BockAlexander ErreygersThomas Krak

The smallest probability interval a sequence is random for : a study for six types of randomness

Floris PersiauJasper De BockGert de Cooman

2020

A robust dynamic classifier selection approach for hyperspectral images with imprecise label information

Meizhu LiShaoguang HuangJasper De BockGert de CoomanAleksandra Pizurica

A1 Journal Article in SENSORS

Archimedean choice functions : an axiomatic foundation for imprecise decision making

Computable randomness is about more than probabilities

Floris PersiauJasper De BockGert de Cooman

Inference with choice functions made practical

Arne DecadtJasper De BockGert De Cooman

Limit behaviour of upper and lower expected time averages in discrete-time imprecise Markov chains

Natan T'JoensJasper De Bock

2019

A desirability-based axiomatisation for coherent choice functions

Jasper De BockGert De Cooman

A recursive algorithm for computing inferences in imprecise Markov chains

Natan T'JoensThomas KrakJasper De BockGert De Cooman

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

Continuity of the shafer-Vovk-Ville operator

Natan T'JoensGert de CoomanJasper De Bock

Dynamic classifier selection based on imprecise probabilities : a case study for the naive Bayes classifier

Meizhu LiJasper De BockGert De Cooman

First steps towards an imprecise Poisson process

Alexander ErreygersJasper De Bock

Hitting times and probabilities for imprecise Markov chains

Thomas KrakNatan T'JoensJasper De Bock

In search of a global belief model for discrete-time uncertain processes

Natan T'JoensJasper De BockGert de Cooman

Independent natural extension for infinite spaces

A1 Journal Article in INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

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

Interpreting, axiomatising and representing coherent choice functions in terms of desirability

Jasper De BockGert de Cooman

Irrelevant natural extension for choice functions

Arthur Van CampEnrique Miranda

Monte Carlo estimation for imprecise probabilities : basic properties

Arne DecadtGert de CoomanJasper 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

Two-state imprecise Markov chains for statistical modelling of two-state non-Markovian processes

Matthias TroffaesThomas KrakHenna Bains

2018

A behavioural justification for using sensitivity analysis in imprecise multinomial processes

Jasper De BockGert De Cooman

A1 Journal Article in JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS

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

Computable randomness is inherently imprecise

Gert De CoomanJasper De Bock

Computing lower and upper expected first passage and return times in imprecise birth-death chains

Stavros LopatatzidisJasper De BockGert De Cooman

A1 Journal Article in INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Credal networks under epistemic irrelevance

A1 Journal Article in INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Efficient computation of updated lower expectations for imprecise continuous-time hidden Markov chains

Thomas KrakJasper De BockA Siebes

Imprecise Classification of the Gram Status of the Causal Pathogen of Clinical Mastitis

Meizhu LiJasper De BockGert De Cooman

Imprecise continuous-time Markov chains

Thomas KrakJasper De BockArno Siebes

A1 Journal Article in INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

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

Alexander ErreygersJasper De Bock

Independent natural extension for infinite spaces : Williams-coherence to the rescue

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

Robust modelling and optimisation in stochastic processes using imprecise probabilities, with an application to queueing theory

Stavros LopatatzidisJasper De BockGert De CoomanStijn Devuyst

The limit behaviour of imprecise continuous-time Markov Chains

A1 Journal Article in JOURNAL OF NONLINEAR SCIENCE

2016

Characterizing Dirichlet priors

Márcio A. DinizJasper De BockArthur Van Camp

A1 Journal Article in AMERICAN STATISTICIAN

Exploiting Bayesian network sensitivity functions for inference in credal networks

Janneke BoltJasper De BockSilja Renooij

Imprecise stochastic processes in discrete time: global models, imprecise Markov chains, and ergodic theorems

Gert De CoomanJasper De BockStavros Lopatatzidis

A1 Journal Article in INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

LQ optimal control for partially specified input noise

Alexander ErreygersJasper De BockGert De CoomanArthur Van Camp

Reintroducing credal networks under epistemic irrelevance

Representation theorems for partially exchangeable random variables

Jasper De BockArthur Van CampMarcio A. DinizGert De Cooman

A1 Journal Article in FUZZY SETS AND SYSTEMS

Robust queueing theory : an initial study using imprecise probabilities

Stavros LopatatzidisJasper De BockGert De CoomanStijn De VuystJoris Walraevens

A1 Journal Article in QUEUEING SYSTEMS

2015

A pointwise ergodic theorem for imprecise Markov Chains

Gert De CoomanJasper De BockStavros Lopatatzidis

Calculating bounds on expected return and first passage times in finite-state imprecise birth-death chains

Stavros LopatatzidisJasper De BockGert De Cooman

Coherent predictive inference under exchangeability with imprecise probabilities

Gert De CoomanJasper De BockMárcio Alves Diniz

A1 Journal Article in JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Computational methods for imprecise continuous-time birth-death processes: a preliminary study of flipping times

Stavros LopatatzidisJasper De BockGert De Cooman

Conditioning, updating and lower probability zero

Jasper De BockGert De Cooman

A1 Journal Article in INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Credal networks under epistemic irrelevance : the sets of desirable gambles approach

Jasper De BockGert De Cooman

A1 Journal Article in INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Credal networks under epistemic irrelevance: theory and algorithms

Jasper De BockGert De Cooman

Extreme lower previsions

Jasper De BockGert De Cooman

A1 Journal Article in JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS

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

Alexander ErreygersJasper De BockGert de CoomanArthur Van Camp

Predictive inference under exchangeability, and the imprecise dirichlet multinomial model

Gert De CoomanJasper De BockMárcio Alves Diniz

2014

A pointwise ergodic theorem for imprecise Markov chains

Stavros LopatatzidisJasper De BockGert De Cooman

An efficient algorithm for estimating state sequences in imprecise hidden Markov models

Jasper De BockGert De Cooman

A1 Journal Article in JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Characterising dirichlet priors

Marcio DinizJasper De BockArthur Van Camp

Global sensitivity analysis for MAP inference in graphical models

Jasper De BockCassio Polpo de CamposAlessandro Antonucci

Robustifying the viterbi algorithm

Cedric De BoomJasper De BockArthur Van CampGert de Cooman

2013

Allowing for probability zero in credal networks under epistemic irrelevance

Jasper De BockGert De Cooman

Credal networks under epistemic irrelevance

Credal networks under epistemic irrelevance using sets of desirable gambles

Jasper De BockGert De Cooman

Credal networks: an overview of different approaches

Decision making in credal networks

Extreme lower previsions and Minkowski indecomposability

Jasper De BockGert De Cooman

First steps towards Little's Law with imprecise probabilities

Stavros LopatatzidisJasper De BockGert De Cooman

2012

Imprecise Bernoulli processes

Jasper De BockGert De Cooman

Imprecise Bernoulli processes

Jasper De BockGert De Cooman

Imprecise Bernoulli processes

Imprecise multinomial processes: an overview of different approaches and how they are related to each other

Recent advances in imprecise-probabilistic graphical models

Gert de CoomanJasper De BockArthur Van Camp

Robustly correcting mistakes made by OCR software

State sequence estimation in imprecise hidden Markov models

2011

Learning imprecise hidden Markov models

Arthur Van CampGert de CoomanJasper De BockErik QuaeghebeurFilip Hermans

State sequence prediction in imprecise hidden Markov models

State sequence prediction in imprecise hidden Markov models

State sequence prediction in imprecise hidden Markov models

Jasper De BockGert De Cooman

State sequence prediction in imprecise hidden Markov models

Jasper De BockGert de Cooman