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SMPS 2025 : 12th International Conference on Soft Methods in Probability and Statistics

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Conference Series : Soft Methods in Probability and Statistics
 
Link: https://conference.unisalento.it/event/14/
 
When Sep 15, 2026 - Sep 18, 2026
Where Lecce, Italy
Submission Deadline Mar 15, 2026
Notification Due Apr 30, 2026
Categories    robust statistics   imprecise probabilities   dependence modeling   machine learning
 

Call For Papers

The SMPS Conference is a biennial gathering of experts exploring established and emerging approaches in soft probability and statistics. First held in Warsaw in 2002, it has become a recurring forum for exchanging ideas and discussing new trends that expand the traditions of probabilistic, statistical, and uncertainty modeling, with a focus on flexible and nuanced handling of incomplete or subjective information.

In 2026, the conference will take place in the baroque city of Lecce, located in the beautiful Salento region of southern Italy.


Plenary Speakers
Bernard De Baets (Ghent University, BE)
Irene Gijbels (KU Leuven, BE)
Beatriz Sinova Fernández (Oviedo University, ES)


Invited Sessions

Advances in Conformal Prediction (organizer: B. Liseo and N. Deliu)

Bridging statistical modeling and AI in atmospheric sciences (organizer: Elisa Perrone)

Clustering of complex data structures (organizer: M.B. Ferraro)

Dependence in Bayesian non-parametric statistics (organizer: M. Catalano)

Novel Approaches to Data Processing under Uncertainty and Vagueness (organizers: M. Holcapek, M. Daňková, P. Grzegorzewski)

Robust Statistics (organizers: L.A. Garcia Escudero and A. Mayo iscar)

Theoretical and applied aspects of imprecise probabilities (organizers: E. Miranda and R. Pérez-Fernández).

Time-varying processes and copulas (organizer: S. Saminger-Platz)



Selected Topics:
Classification
Clustering
Decision Theory
Dependence Modeling and Copulas
Functional Data Analysis
Fuzzy Sets
Imprecise/Generalized Probabilities
Machine Learning
Optimal Transport
Random Sets
Robust Statistics
Soft Computing
Statistics with imprecise data
Times Series
Triangular Norms and related aggregation functions
Applications in science, industry and society.

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