Schedule

09:00 - 10:15: Registration + coffee.

10:15 - 10:45: Opening ceremony.

10:45 - 11:35: Plenary conference (Avelio Sepúlveda).

11:35 - 12:25: Plenary conference (Cynthia Rush).

12:25 - 14:30: Lunch.

14:30 - 16:00: Sessions.

IS1 Robust Estimation.

IS6 Percolation.

CS6 Geometrical properties of random fields.

CS8 Learning of stochastic chains.

CS14 Queueing systems and stochastic control.

CS15 Random models in evolution.

CT5 Statistical models and applications.

16:00 - 16:30: Coffee.

16:30 - 18:00: Sessions.

IS2 Probability distances in statistics: applications in machine learning, UQ and TDA.

CS4 Contact process and related models.

CS7 Kinetic models and propagation of chaos.

CS11 New perspectives in mathematical statistics.

CS16 Randomness, robustness and networks.

CS19 Statistical and stochastic models driven by fractional Brownian motion.

CT2 Clustering and mixture models.

18:00 - 19:00: Reception Bernoulli Society.

09:00 - 10:15: Mini course Gersende Fort // Mini course Daniel Kious.

10:15 - 10:45: Coffee.

10:45 - 11:35: Plenary conference (Liliana Forzani).

11:35 - 12:25: Plenary conference (Davide Gabrielli).

12:25 - 14:30: Lunch.

14:30 - 16:00: Sessions.

IS7 Stochastic processes on combinatorial structures.

IS10 Statistical depths.

CS10 Markovian local times.

CS12 Optimal transport in statistics and machine learning.

CS17 Scaling limits of non-homogeneous random walks.

CS20 Stochastic modeling of biological neural networks.

CT9 Interacting particle systems.

16:00 - 17:00: Navegando espacios complejos
//  Navegando em espaços complexos. Aleatorias & Normales activity. This session is aimed at undergraduate and graduate students, as well as early-career researchers.

17:00 - 18:30: New researchers panel IMS. This session is aimed at undergraduate and graduate students, as well as early-career researchers.

09:00 - 10:15: Mini course Gersende Fort // Mini course Daniel Kious.

10:15 - 10:45: Coffee.

10:45 - 11:35: Plenary conference (Alexander Glazman).

11:35 - 12:25: Aranda Ordaz Prize conferences.

12:25 - 14:30: Lunch.

14:30 - 16:00: Sessions.

IS4 Biostochastics.

IS8 Scaling limits for interacting particle systems.

CS1 Analysis of complex data.

CS13 Optimization and statistical learning.

CT1 Multivariate inference and survival data.

CT6 Asymptotics in interacting random processes.

CT8 Applied probability models.

19:30 - 22:00: Dinner* (tentative).

09:00 - 10:15: Mini course Gersende Fort // Mini course Daniel Kious.

10:15 - 10:45: Coffee.

10:45 - 11:35: Plenary conference (Nicolás García Trillos).

11:35 - 12:25: Plenary conference (Kavita Ramanan).

12:25 - 14:30: Lunch.

14:30 - 16:00: Sessions.

IS5 Sampling random genealogies.

IS9 Optimal stopping and related topics.

CS2 Bayesian modelling of complex data.

CS22 Stochastic processes on graphs.

CS23 Universality in random growth models.

CT3 Robust nonparametric methods.

CT7 TBA.

16:00 - 17:30: Coffee + Poster sessions.

17:30 - 18:30: SLAPEM general assembly.

09:00 - 10:15: Mini course Gersende Fort // Mini course Daniel Kious.

10:15 - 10:45: Coffee.

10:45 - 12:15: Sessions.

IS3 Probability and deep learning.

CS3 Coalescent theory.

CS9 Level sets for random polynomials, series and fields.

CS18 Spatial processes and applications.

CS21 Stochastic processes on combinatorial structures II.

CT4 Optimization and stochastic processes (ends 12:45).

CT10 TBA.

12:15 - 14:30: Lunch.

14:30 - 15:20: Plenary conference (Adrián González Casanova).

15:20 - 16:10: Plenary conference (Alejandro Cholaquidis).

16:10 - 16:40: Closing ceremony.