ISIPTA 2021

41 papers

A Recursive Formulation of Possibilistic Filters Dominik Hose, Michael Hanss

A Remarkable Equivalence Between Non-Stationary Precise and Stationary Imprecise Uncertainty Models in Computable Randomness Floris Persiau, Jasper De Bock, Gert Cooman

An Imprecise Bayesian Approach to Thermal Runaway Probability Marc Fischer, Alexis Vignes

An Info-Gap Framework for Comparing Epistemic Uncertainty Models in Hybrid Structural Reliability Analysis Antoine Ajenjo, Emmanuel Ardillon, Vincent Chabridon, Scott Cogan, Emeline Sadoulet-Reboul

Average Behaviour of Imprecise Markov Chains: A Single Pointwise Ergodic Theorem for Six Different Models Jasper De Bock, Natan T’Joens

Basic Probability Assignments Representable via Belief Intervals for Singletons in Dempster-Shafer Theory Serafı́n Moral Garcı́a, Joaquı́n Abellán

Betting Schemes for Assessing Coherent Numerical and Comparative Conditional Possibilities Davide Petturiti, Barbara Vantaggi

Cautious Random Forests: A New Decision Strategy and Some Experiments Haifei Zhang, Benjamin Quost, Marie-Hélène Masson

Computing Simple Bounds for Regression Estimates for Linear Regression with Interval-Valued Covariates Georg Schollmeyer

Constructing Consonant Predictive Beliefs from Data with Scenario Theory Marco De Angelis, Roberto Rocchetta, Ander Gray, Scott Ferson

Credal Sets of Coherent Conditional Probabilities Defined by Hausdorff Measures Serena Doria

CREPO: An Open Repository to Benchmark Credal Network Algorithms Rafael Cabañas, Alessandro Antonucci

Decision-Making from Partial Instances by Active Feature Querying Benjamin Quost

Dependent Possibilistic Arithmetic Using Copulas Ander Gray, Dominik Hose, Marco De Angelis, Michael Hanss, Scott Ferson

Discounting Desirable Gambles Gregory Wheeler

Distributionally Robust, Skeptical Binary Inferences in Multi-Label Problems Yonatan Carlos Carranza Alarcón, Sébastien Destercke

Epistemic Argumentation with Conditional Probabilities and Labeling Constraints Glauber Bona, Victor Hugo Nascimento Rocha, Fabio Cozman

Extending the Domain of Imprecise Jump Processes from Simple Variables to Measurable Ones Alexander Erreygers, Jasper De Bock

Generalized Hartley Measures on Credal Sets Andrey G. Bronevich, Igor N. Rozenberg

Global Upper Expectations for Discrete-Time Stochastic Processes: In Practice, They Are All the Same! Natan T’Joens, Jasper De Bock

Imprecise Hypothesis-Based Bayesian Decision Making with Composite Hypotheses Patrick Michael Schwaferts, Thomas Augustin

Improving Algorithms for Decision Making with the Hurwicz Criterion Nawapon Nakharutai, Matthias Troffaes

Independent Natural Extension for Choice Functions Arthur Van Camp, Kevin Blackwell, Jason Konek

Information Algebras of Coherent Sets of Gambles in General Possibility Spaces Juerg Kohlas, Arianna Casanova, Marco Zaffalon

Logical Approximations of Qualitative Probability Paolo Baldi, Hykel Hosni

Nonlinear Desirability as a Linear Classification Problem Arianna Casanova, Alessio Benavoli, Marco Zaffalon

On the Comonotone Natural Extension of Marginal P-Boxes Ignacio Montes

Probabilistic Risk Management in Project Portfolios Love Ekenberg, Mats Danielson

Probability Filters as a Model of Belief; Comparisons to the Framework of Desirable Gambles Catrin Campbell-Moore

Processing Multiple Distortion Models: A Comparative Study Sébastien Destercke, Ignacio Montes, Enrique Miranda

Quantum Indistinguishability Through Exchangeable Desirable Gambles Alessio Benavoli, Alessandro Facchini, Marco Zaffalon

Randomness and Imprecision: A Discussion of Recent Results Gert Cooman, Jasper De Bock

Robust Model Checking with Imprecise Markov Reward Models Alberto Termine, Alessandro Antonucci, Alessandro Facchini, Giuseppe Primiero

Stochastic Optimization for Numerical Evaluation of Imprecise Probabilities Nicholas Syring, Ryan Martin

The Sure Thing Marco Zaffalon, Enrique Miranda

Total Evidence and Learning with Imprecise Probabilities Ruobin Gong, Joseph B. Kadane, Mark J. Schervish, Teddy Seidenfeld

Towards a Theory of Confidence in Market-Based Predictions Rupert Freeman, David Pennock, Daniel Reeves, David Rothschild, Bo Waggoner

Towards Improving Electoral Forecasting by Including Undecided Voters and Interval-Valued Prior Knowledge Dominik Kreiss, Georg Schollmeyer, Thomas Augustin

Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification Serafı́n Moral Garcı́a, Javier Garcı́a Castellano, Carlos J. Mantas Ruiz, Joaquı́n Abellán

Valid Inferential Models for Prediction in Supervised Learning Problems Leonardo Cella, Ryan Martin

When Belief Functions and Lower Probabilities Are Indistinguishable Esther Anna Corsi, Tommaso Flaminio, Hykel Hosni