Call for papers

Special Session on

"THEORETICAL AND APPLIED ASPECTS OF IMPRECISE PROBABILITIES" to be held at the 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2022) https://ipmu2024.inesc-id.pt/ Lisbon (Portugal), July 22-26, 2024

Session topic and goal

This session is devoted to Imprecise Probability Theory. This theory involves all the mathematical models that can be used as more flexible tools than usual Probability Theory when the available information is scarce, vague or incomplete. It includes lower previsions, n-monotone capacities, belief functions, possibility measures, or non-additive measures, among others. This special session aims to include papers related to Imprecise Probabilities that either present a significant advance in the foundations or show potential applications in real problems. In addition, papers where the connection between imprecise probability theories and other fields such as fuzzy sets or game theory is emphasized are also welcome.

Theoretical  topics  of  interest  include (but are  not  limited  to):

• (coherent)  uncertainty  models
• non-additive  set-functions
• qualitative  reasoning  about  uncertainty
• limit  laws  for  imprecise  probabilities
• philosophical  foundations
• elicitation  and  inference
• robust  statistics
• decision  making
• algorithmic  issues

Applications  include  (but  are  not  limited to):

• data  mining
• classification  and  machine  learning
• risk  and  reliability  analysis
• finance
• life  sciences
• system  control  and  design

Dates

Paper submission: February 23, 2024 Notification of Acceptance: March 29, 2024 Conference: July 22-26, 2024

Organizers

We would be obliged if you would let us know in case you intend to submit a paper to this session, at your earliest convenience. Any questions or remarks can be addressed to:

Enrique Miranda (mirandaenrique@uniovi.es), University of Oviedo (Spain) Ignacio Montes (imontes@uniovi.es), University of Oviedo (Spain)