Information in the media:

1. TPA: regional television.
2. LNE: regional newspaper.

The following topics will be discussed during the workshop (the list will be regularly updated):

1. Computation and applications, led by Matthias Troffaes (Durham University, United Kingdom).
2. Learning, led by Sébastien Destercke (University of Compiègne, France) and Cassio de Campos (University of Utrecht, The Netherlands).
3. Decision and choice, led by Gert de Cooman (Ghent University, Belgium).
4. Reliability, led by Frank Coolen and Daniel Krpelik (Durham University, United Kingdom).
5. Foundations, led by Enrique Miranda and Ignacio Montes (University of Oviedo, Spain).

As usual, one of the goals of WPMSIIP is to estimulate discussion and scientific collaboration. Thus, there will be no strict constraints on the format and lenght of the presentations, and questions and discussion will be encouraged. If you want to give a presentation on one of the topics listed above, or lead a different topic, please contact us and/or the corresponding topic leader.

Short Program

Day	Monday 30	Tuesday 31	Wednesday 1
09.00-10.00	Foundations I	Comp & App I
10.00-11.00			Learning III
11.00-11.30	Coffee break	Coffee break	Coffee break
11.30-12.15	Foundations I	Reliability	Comp & App II
12.15-13.00	Learning I
13.00-14.30	Lunch	Lunch	Lunch
14.30-17.30	Decision I	Learning II	Decision II
17.30-	Discussion	Discussion	Closing
20.30-		Gala dinner

Detailed Program

Monday 30
Foundations I	9.00-11.00	Outer approximations of coherent lower probabilities using belief functions Ignacio Montes - Slides
	10.00-11.00	Continuity of the Shafer-Vovk-Ville operator Natan T’Joens - Slides
	11.00-11.30	Coffee Break
Foundations I	11.30-12.15	Coherence, compatibility and RIP Enrique Miranda - Slides
Learning I	12.15-13.00	Approximate Inference method for Advanced Bayesian Networks Diego Estrada - Slides
	13.00-14.30	Lunch
Decision I	14.30-15.15	Gambling & free bets via Choquet integration and complementary slackness Nawapon Nakharutai - Slides
	15.15-16.00	Necessary and sufficient conditions to obtain (discrete) probability intervals as predictions: what could they be? Sebastien Destercke
	16.00-16.45	The crayfish problem Matthias Troffaes - Slides
	16.45-17.30	Imprecision and randomness Gert de Cooman - Slides
	17.30-	Discussion
Tuesday 31
Comp & App I	9.00-10.00	Sampling & simulation Matthias Troffaes - Slides
	10.00-11.00	Imprecise filtering for spacecraft navigation Thomas Krak - Slides
	11.00-11.30	Coffee Break
Reliability	11.30-12.00	How to combine p-values Scott Ferson
	12.00-12.30	Imprecise copulas constructed from shock models Damjan Skulj - Slides
	12.30-13.00	Renewal theory and reliability of multi-state systems Daniel Krpelijk - Slides
	13.00-14.30	Lunch
Learning II	14.30-15.15	Can imprecise probability survive deep learning? Cassio de Campos
	15.15-16.00	Some results on imprecise discriminant analysis Yonatan Carranza - Slides
	16.00-16.45	Maximality from a computational point of view Nawapon Nakharutai - Slides
	16.45-17.15	Dynamic classifier selection based on imprecise probabilities Meizhu Li - Slides
	17.15-	Discussion
	20.30-	Gala Dinner
Wednesday 1
Learning III	10.00-10.40	Imprecise regularisation Tathagata Basu - Slides
	10.40-11.00	Combination of second order models and Frechet-Hoeffding bounds Scott Ferson
	11.00-11.30	Coffee Break
Comp & App II	11.30-12.15	Limits of imprecise Markov chains Alexander Erreygers - Slides
	12.15-13.00	2-state imprecise continuous time Markov chains and an application to offshore wind Henna Bains
	13.00-14.30	Lunch
Decision II	14.30-15.30	The necessity and formulation of an imprecise Bayes Factor Patrick Schwaferts - Slides
	15.30-16.15	Some results about coherent choice functions Gert de Cooman
	16.15-16.30	Closing ceremony