3 – 6 July Ghent, Belgium

List of contributions

A total of 81 contributions were presented at ISIPTA 2019: 45 full papers, 6 short papers and 30 poster abstracts. The individual contributions are available for download in the list below. The following zip file contains them all. For many contributions, the list below also provides links to the corresponding presentation and poster.

All paper authors had the option to have their paper published in the PMLR proceedings of the conference; the authors of 50 papers have chosen to do so. These PMLR proceedings are published online: they are freely available on the PMLR website.


ISIPTA 2019: Preface

Jasper De Bock, Gert de Cooman, Cassio P. De Campos, Erik Quaeghebeur & Gregory Wheeler

Full papers

Natural Selection with Objective Imprecise Probability

Marshall Abrams

Credal Sentential Decision Diagrams

Alessandro Antonucci, Alessandro Facchini & Lilith Mattei

Bernstein’s Socks, Polynomial-Time Provable Coherence and Entanglement

Alessio Benavoli, Alessandro Facchini & Marco Zaffalon

On Minimum Elementary-Triplet Bases for Independence Relations

Janneke Bolt & Linda C. van der Gaag

Aggregating Belief Models

Seamus Bradley

Possibility Measures for Valid Statistical Inference Based on Censored Data

Joyce Cahoon & Ryan Martin

Imprecise Gaussian Discriminant Classification

Yonatan Carlos Carranza Alarcon & Sébastien Destercke

Incorporating Expert Opinion in an Inferential Model while Maintaining Validity

Leonardo Cella & Ryan Martin

Extending Nearly-Linear Models

Chiara Corsato, Renato Pelessoni & Paolo Vicig

The Joy of Probabilistic Answer Set Programming

Fabio Cozman

Graphoid Properties of Variants of Epistemic Independence Based on Regular Conditioning

Fabio Cozman

Imprecise Probabilities as a Semantics for Intuitive Probabilistic Reasoning

Harry Crane

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

Jasper De Bock & Gert de Cooman

Monte Carlo Estimation for Imprecise Probabilities: Basic Properties

Arne Decadt, Gert de Cooman & Jasper De Bock

An Axiomatic Utility Theory for Dempster-Shafer Belief Functions

Thierry Denoeux & Prakash P. Shenoy

Coherent Upper Conditional Previsions Defined by Hausdorff Outer Measures for Unbounded Random Variables

Serena Doria

Robust Bayes Factor for Independent Two-Sample Comparisons under Imprecise Prior Information

Luisa Ebner, Patrick Michael Schwaferts & Thomas Augustin

First Steps Towards an Imprecise Poisson Process

Alexander Erreygers & Jasper De Bock

Improving the Convergence of Iterative Importance Sampling for Computing Upper and Lower Expectations

Thomas Fetz

SIPTA-Community Based on Paper Contributions – Descriptive Statistics and Network Analysis

Paul Fink

On the Usefulness of Imprecise Bayesianism in Chemical Kinetics

Marc Fischer

Constructing Simulation Data with Dependency Structure for Unreliable Single-Cell RNA-Sequencing Data Using Copulas

Cornelia Fuetterer, Georg Schollmeyer & Thomas Augustin

Simultaneous Inference under the Vacuous Orientation Assumption

Ruobin Gong

Confidence in Belief, Weight of Evidence and Uncertainty Reporting

Brian Hill

Embedding Probabilities, Utilities and Decisions in a Generalization of Abstract Dialectical Frameworks

Atefeh Keshavarzi Zafarghandi, Bart Verheij & Rineke Verbrugge

IP Scoring Rules: Foundations and Applications

Jason Konek

Hitting Times and Probabilities for Imprecise Markov Chains

Thomas Krak, Natan T'Joens & Jasper De Bock

Making Set-Valued Predictions in Evidential Classification: A Comparison of Different Approaches

Liyao Ma & Thierry Denoeux

Validity-Preservation Properties of Rules for Combining Inferential Models

Ryan Martin & Nicholas Syring

On Valid Uncertainty Quantification About a Model

Ryan Martin

A Unifying Frame for Neighbourhood and Distortion Models

Enrique Miranda, Ignacio Montes & Sébastien Destercke

Markov Chains under Nonlinear Expectation

Max Nendel

Random Set Solutions to Stochastic Wave Equations

Michael Oberguggenberger & Lukas Wurzer

A Short Note on the Equivalence of the Ontic and the Epistemic View on Data Imprecision for the Case of Stochastic Dominance for Interval-Valued Data

Georg Schollmeyer

Imprecise Hypothesis-Based Bayesian Decision Making with Simple Hypotheses

Patrick Michael Schwaferts & Thomas Augustin

A Retrospective on Isaac Levi: June 30, 1930 – December 25, 2018

Teddy Seidenfeld

Extensions of Sets of Markov Operators Under Epistemic Irrelevance

Damjan Skulj

Incompletely Known Sample Spaces: Models and Human Intuitions

Michael Smithson

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

Natan T'Joens, Jasper De Bock & Gert de Cooman

A Cantelli-Type Inequality for Constructing Non-Parametric P-Boxes Based on Exchangeability

Matthias Troffaes & Tathagata Basu

Two-State Imprecise Markov Chains for Statistical Modelling of Two-State Non-Markovian Processes

Matthias Troffaes, Thomas Krak & Henna Bains

Imprecise Extensions of Random Forests and Random Survival Forests

Lev Utkin, Maxim Kovalev, Anna Meldo & Frank Coolen

Irrelevant Natural Extension for Choice Functions

Arthur Van Camp & Enrique Miranda

Robust Causal Domain Adaptation in a Simple Diagnostic Setting

Thijs van Ommen

Robust Analysis of MAP Inference in Selective Sum-Product Networks

Julissa Giuliana Villanueva Llerena & Denis Deratani Mauá

Short papers

An Experimental Study of Prior Dependence in Bayesian Network Structure Learning

Alvaro Henrique Chaim Correia, Cassio P. de Campos & Linda C. van der Gaag

Decideit 3.0: Software for Second-Order Based Decision Evaluations

Mats Danielson, Love Ekenberg & Aron Larsson

Robustness in Sum-Product Networks with Continuous and Categorical Data

Rob de Wit, Cassio P. de Campos, Diarmaid Conaty & Jesus Martinez del Rincon

Dilation and Asymmetric Relevance

Arthur Paul Pedersen & Gregory Wheeler

On Intercausal Interactions in Probabilistic Relational Models

Silja Renooij, Linda C. van der Gaag & Philippe Leray

Imprecise Compositional Data Analysis: Alternative Statistical Methods

Michael Smithson

Poster abstracts

On Generalized Empirical Bayes Updating

Thomas Augustin

Using Interval Dominance and Gamma-Maximin for Decision Making in Offshore Power Transmission

Henna Bains, Ander Madariaga, Behzad Kazemtabrizi & Matthias Troffaes

An Informational View of Belief Functions

Paolo Baldi

Robust Uncertainty Quantification for Measurement Problems with Limited Information

Tathagata Basu, Jochen Einbeck, Matthias Troffaes & Alistair Forbes

Social Pooling of Beliefs and Values with Desirability

Arianna Casanova, Enrique Miranda & Marco Zaffalon

On the Dimensionality of Credal Networks with Interval Probabilities

Marco de Angelis, Hector Diego Estrada-Lugo, Edoardo Patelli & Scott Ferson

Choice Models: From Linear Option Spaces to Sets of Horse Lotteries

Gert de Cooman & Jasper De Bock

Fault Trees into Credal Networks Adopting Imprecise Noisy-MAX Gate

Hector Diego Estrada-Lugo, Marco de Angelis & Edoardo Patelli

Interdependent Intervals: Multivariate and Spatial Uncertainty Analysis under Scarce Data

Matthias Faes & David Moens

Towards an Interval Particle Transport Monte Carlo Method

Ander Gray, Andrew Davis & Edoardo Patelli

Safe Testing: S-Values and Optional Continuation

Peter Grünwald, Rianne de Heide & Wouter M. Koolen

Preference Elicitation with Uncertainty: Extending Regret Based Methods through Belief Functions

Pierre-Louis Guillot & Sébastien Destercke

Modeling Higher Order Evidence using Imprecise Probability

Leah Henderson

Computing Expected Hitting Times for Imprecise Markov Chains

Thomas Krak & Jasper De Bock

Towards Markov Chain Monte Carlo Methods for Uncertainty Models Specified by Sets of Probability Distributions

Daniel Krpelik, Louis Aslett & Frank Coolen

A Possibilistic Interpretation of Ensemble Predictions: Experiments on the Imperfect Lorenz 96 Model

Noémie Le Carrer & Scott Ferson

The Ergodic Conundrum

Miguel Mendes

A Hierarchical Approach to Learning with Imprecise Probabilities

Serafin Moral

Improving and Benchmarking of Algorithms for Decision Making with Lower Previsions

Nawapon Nakharutai, Matthias Troffaes & Camila Caiado

Characterizing Uncertainty in Decision Trees through Imprecise Splitting Rules

Malte Nalenz & Thomas Augustin

Reliable Multi-Label Classification: Prediction with Partial Abstention

Vu-Linh Nguyen & Eyke Hüllermeier

On the Decomposition of Belief Functions into Simple Support Functions

Frédéric Pichon

Robust Wind Farm Layout Optimization using Pseudo-Gradients

Erik Quaeghebeur

Interval Neural Networks for Imprecise Training Data

Jonathan Sadeghi, Edoardo Patelli & Marco de Angelis

Is Imprecise Probability Let into the Regulatory Lounge?

Ullrika Sahlin

Bayesian Decisions using Regions of Practical Equivalence (ROPE) and Imprecise Loss Functions

Patrick Michael Schwaferts & Thomas Augustin

Let's Replace P-Values with Betting Outcomes

Glenn Shafer

A New Class of Multivariate Prior Distributions with Application to Reliability Engineering

Alfonso Suárez-Llorens, Fabrizio Ruggeri, Marta Sánchez-Sánchez & Miguel Ángel Sordo

Exposing Some Points of Interest about Non-Exposed Points of Desirability

Arthur Van Camp & Teddy Seidenfeld

Imprecise Probabilities in Statistics and Conformal Change Detection: Elementary Results and an Open Question

Vladimir Vovk