Jasper De Bock

Arthur Van Camp

Int. J. Approx. Reason., 2024

Extended papers from the 11th International Symposium on Imprecise Probabilities: Theories and Applications.

[BibT_eX]

[DOI]

Gert De Cooman

Cassio P. de Campos

Int. J. Approx. Reason., 2024

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

[BibT_eX]

[DOI]

Arne Decadt

CoRR, 2024

2023

The Twelfth International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA-21).

[BibT_eX]

[DOI]

Andrés Cano

Enrique Miranda

Int. J. Approx. Reason., 2023

Indistinguishability through exchangeability in quantum mechanics?

[BibT_eX]

[DOI]

Keano De Vos

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

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

[BibT_eX]

[DOI]

Yema Paul

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

Desirable sets of things and their logic.

[BibT_eX]

[DOI]

Arthur Van Camp

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

A theory of desirable things.

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2022

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

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2022

Randomness is inherently imprecise.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

2021

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

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2021

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

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2021

On a notion of independence proposed by Teddy Seidenfeld.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Thomas Krak

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

Global Upper Expectations for Discrete-Time Stochastic Processes: In Practice, They Are All The Same!

[BibT_eX]

[DOI]

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

A Remarkable Equivalence between Non-Stationary Precise and Stationary Imprecise Uncertainty Models in Computable Randomness.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Randomness and Imprecision: A Discussion of Recent Results.

[BibT_eX]

[DOI]

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

Average Behaviour of Imprecise Markov Chains: A Single Pointwise Ergodic Theorem for Six Different Models.

[BibT_eX]

[DOI]

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

The Smallest Probability Interval a Sequence Is Random for: A Study for Six Types of Randomness.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

2020

A Robust Dynamic Classifier Selection Approach for Hyperspectral Images with Imprecise Label Information.

[BibT_eX]

[DOI]

Sensors, 2020

Choice functions based on sets of strict partial orders: an axiomatic characterisation.

[BibT_eX]

[DOI]

CoRR, 2020

Computable Randomness Is About More Than Probabilities.

[BibT_eX]

[DOI]

Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020

Inference with Choice Functions Made Practical.

[BibT_eX]

[DOI]

Arne Decadt

Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020

Limit Behaviour of Upper and Lower Expected Time Averages in Discrete-Time Imprecise Markov Chains.

[BibT_eX]

[DOI]

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

Archimedean Choice Functions - An Axiomatic Foundation for Imprecise Decision Making.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

Independent natural extension for infinite spaces.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

An alternative approach to coherent choice functions.

[BibT_eX]

[DOI]

CoRR, 2019

In Search of a Global Belief Model for Discrete-Time Uncertain Processes.

[BibT_eX]

[DOI]

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

Hitting Times and Probabilities for Imprecise Markov Chains.

[BibT_eX]

[DOI]

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

First Steps Towards an Imprecise Poisson Process.

[BibT_eX]

[DOI]

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

Monte Carlo Estimation for Imprecise Probabilities: Basic Properties.

[BibT_eX]

[DOI]

Arne Decadt

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

Interpreting, Axiomatising and Representing Coherent Choice Functions in Terms of Desirability.

[BibT_eX]

[DOI]

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

A Recursive Algorithm for Computing Inferences in Imprecise Markov Chains.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

2018

Imprecise Markov Models for Scalable and Robust Performance Evaluation of Flexi-Grid Spectrum Allocation Policies.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2018

Continuity of the Shafer-Vovk-Ville Operator.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty Modelling in Data Science, 2018

Dynamic Classifier Selection Based on Imprecise Probabilities: A Case Study for the Naive Bayes Classifier.

[BibT_eX]

[DOI]

Meizhu Li

Proceedings of the Uncertainty Modelling in Data Science, 2018

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

[BibT_eX]

[DOI]

Proceedings of the Uncertainty Modelling in Data Science, 2018

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

[BibT_eX]

[DOI]

Proceedings of the Uncertainty Modelling in Data Science, 2018

A Desirability-Based Axiomatisation for Coherent Choice Functions.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty Modelling in Data Science, 2018

2017

The Limit Behaviour of Imprecise Continuous-Time Markov Chains.

[BibT_eX]

[DOI]

J. Nonlinear Sci., 2017

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

[BibT_eX]

[DOI]

Stavros Lopatatzidis

Int. J. Approx. Reason., 2017

Imprecise continuous-time Markov chains.

[BibT_eX]

[DOI]

Arno Siebes

Int. J. Approx. Reason., 2017

Credal networks under epistemic irrelevance.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2017

Efficient Computation of Updated Lower Expectations for Imprecise Continuous-Time Hidden Markov Chains.

[BibT_eX]

[DOI]

Arno Siebes

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

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

[BibT_eX]

[DOI]

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

Computable Randomness is Inherently Imprecise.

[BibT_eX]

[DOI]

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

Independent Natural Extension for Infinite Spaces: Williams-Coherence to the Rescue.

[BibT_eX]

[DOI]

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

Coherent Predictive Inference under Exchangeability with Imprecise Probabilities (Extended Abstract).

[BibT_eX]

[DOI]

Márcio Alves Diniz

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Robust queueing theory: an initial study using imprecise probabilities.

[BibT_eX]

[DOI]

Queueing Syst. Theory Appl., 2016

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

[BibT_eX]

[DOI]

Stavros Lopatatzidis

Int. J. Approx. Reason., 2016

Representation theorems for partially exchangeable random variables.

[BibT_eX]

[DOI]

Fuzzy Sets Syst., 2016

Reintroducing Credal Networks under Epistemic Irrelevance.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Exploiting Bayesian Network Sensitivity Functions for Inference in Credal Networks.

[BibT_eX]

[DOI]

Janneke H. Bolt

Silja Renooij

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Coherent Predictive Inference under Exchangeability with Imprecise Probabilities.

[BibT_eX]

[DOI]

Gert De Cooman

Márcio Alves Diniz

J. Artif. Intell. Res., 2015

Conditioning, updating and lower probability zero.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2015

Credal networks under epistemic irrelevance: The sets of desirable gambles approach.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2015

2014

An Efficient Algorithm for Estimating State Sequences in Imprecise Hidden Markov Models.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2014

Robustifying the Viterbi Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Global Sensitivity Analysis for MAP Inference in Graphical Models.

[BibT_eX]

[DOI]

Cassio P. de Campos

Alessandro Antonucci

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Extreme Lower Previsions and Minkowski Indecomposability.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

2012

Credal nets under epistemic irrelevance

[BibT_eX]

[DOI]

CoRR, 2012

Imprecise Bernoulli Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2012

Recent advances in imprecise-probabilistic graphical models.

[BibT_eX]

[DOI]