How to contribute

Important notice: Submission of contributions are closed.

Contributions to the Meeting are given by oral presentations or posters. The abstracts of all contributions have to be submitted through the contribution form within March 30, 2022.

The official language is English. Each oral presentation has a 25-minute time slot, including 5 minutes for questions. By submitting an abstract, the authors agree to its publication in the Book of Abstracts and in the website of the Meeting. Oral presentations will be arranged in Contributed Sessions and Organized Sessions.


How to submit an Organized Session

An Organized Session is a block of 3 or 4 presentations given by speakers invited by one or more organizers. Organized Session proposals have to be submitted by the organizer(s) through the session form within March 30, 2022. 

Proposals of Organized Sessions from young researchers will be highly welcome.


How to submit a Contributed Talk / Talk within an Organized Session / Poster

The abstract of a contribution has to be submitted through the contribution form within March 30, 2022.


Participants are encouraged to submit their proposals or Organized Sessions on a wide range of theoretical and applied topics in Probability and Mathematical Statistics.

A non-exhaustive list is the following: Algebraic Statistics, Bayesian Nonparametrics, Dependence Modeling, Foundations of Probability, Fractional Stochastic Dynamics, Game-Theoretical Probability, High Dimensional Data Analysis, Information and Stochastic Geometry, Insurance Mathematics, Interacting Particle Systems, Mathematical Ecology, Measure Valued Processes, Optimal Transport and its Applications in Probability, Probabilistic Data Science, Quantum Probability, Random Fields, Risk Analysis and Reliability, Simulation in Probability and Statistics, Statistical Inference, Stochastic Differential Equations, Stochastic Dynamics in Statistical Physics, Stochastic Financial Markets, Stochastic Models in Biology and Medicine, Stochastic Processes and Applications, Stochastic Networks and Queueing, Teaching Probability and Mathematical Statistics, Uncertainty Quantification.