Session topic and goal
This session
concerns imprecise
probability in the wide sense. It is used as a generic term
for uncertainty
models, both qualitative and quantitative not using sharp
numerical
probabilities (comparative probabilities, belief functions,
possibilities,
lower previsions, etc.).
Such models
address inference problems
where the relevant information is scarce, vague or
conflicting, and decision
problems where preferences may be incomplete.
We would like to
attract papers that
discusses and solve foundational questions, or clearly
demonstrate the
usefulness of imprecise probabilistic models in a particular
application. We would
particularly welcome papers going
from theoretical advances to the solution of an associated
applied problem.
We
encourage submissions
of papers from future attendees of the SIPTA summer school
2014, in which
discussions can be pursued. Submissions from young researchers
or about
promising preliminary results are therefore welcomed.
Dates
Expression of interest: 15
November 2013
Paper submission: 9
December 2013
Acceptance: 24 February 2013
Conference: 15-19 July 2013
Scope of the session
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
- physical
models of imprecise probability
-
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 (biology, agronomy)
- system
control and design, …
Notes
The special
session will be organized only if enough expressions of
interest have been
collected by November 15th 2013.
SIPTA school 2014 will
be held in Montpellier on July 21-25, 2014. http://www.lirmm.fr/SIPTAschool2014
Organizers :
Enrique Miranda: University of Oviedo (mirandaenrique@uniovi.es)
Sébastien
Destercke: CNRS, Heudiasyc Lab. (sebastien.destercke@hds.utc.fr)
Kevin Loquin: LIRMM - IMNC Labs. (kevin.loquin@gmail.com)