Reasoning with random sets: An agenda for the future

Fuente: arXiv
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Auteur principal: Cuzzolin, Fabio
Format: Preprint
Publié: 2023
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author Cuzzolin, Fabio
author_facet Cuzzolin, Fabio
contents In this paper, we discuss a potential agenda for future work in the theory of random sets and belief functions, touching upon a number of focal issues: the development of a fully-fledged theory of statistical reasoning with random sets, including the generalisation of logistic regression and of the classical laws of probability; the further development of the geometric approach to uncertainty, to include general random sets, a wider range of uncertainty measures and alternative geometric representations; the application of this new theory to high-impact areas such as climate change, machine learning and statistical learning theory.
format Preprint
id arxiv_https___arxiv_org_abs_2401_09435
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Reasoning with random sets: An agenda for the future
Cuzzolin, Fabio
Statistics Theory
Artificial Intelligence
Machine Learning
62A01, 62A86, 60A05, 60C05, 60D05, 60E05
In this paper, we discuss a potential agenda for future work in the theory of random sets and belief functions, touching upon a number of focal issues: the development of a fully-fledged theory of statistical reasoning with random sets, including the generalisation of logistic regression and of the classical laws of probability; the further development of the geometric approach to uncertainty, to include general random sets, a wider range of uncertainty measures and alternative geometric representations; the application of this new theory to high-impact areas such as climate change, machine learning and statistical learning theory.
title Reasoning with random sets: An agenda for the future
topic Statistics Theory
Artificial Intelligence
Machine Learning
62A01, 62A86, 60A05, 60C05, 60D05, 60E05
url https://arxiv.org/abs/2401.09435