Rive gauche de la Sarthe

 

Program

Wednesday 4th June 2025

Session 1: State Inference

11h00-11h30 Yury Kutoyants - On adaptive filtering of low noise linear system.
11h30-12h00 Pavel Chigansky - Asymptotic analysis of the finite predictor for the fractional Gaussian noise.
12h00-12h30 Kasper Bågmark - Deep learning for the nonlinear filtering problem.
 

Session 2: Stochastic Modelling

14h00-14h30 Peter Spreij - Polynomial approximation of discounted moments
14h30-15h00 Alexander Schnurr - Analyzing rainfall radar data using multivariate motion patterns.
15h00-15h30 Nilton Ávido - Parameter estimation of an SDE modelling the slow drift of an offshore structure: a simulation study.
 

Session 3: Stochastic Equations (I)

16h00-16h30 Nicolas Marie - On a computable Skorokhod's integral based estimator of the drift parameter in fractional SDE.
16h30-17h00 Johannes Brutsche - The level of self-organized criticality in oscillating Brownian motion: n-consistency and stable Poisson-type convergence of the MLE.
17h00-17h30 Houssem Dahbi - The double Heston model.
 

Thursday 5th June 2025

Session 4: Particle Systems

09h00-09h30 Mark Podolskij - On nonparametric estimation of the interaction function in particle system models.    
09h30-10h00 Yating Liu - Supervised classification for interacting particle systems.
10h00-10h30  Akram Heidari - Local asymptotic normality for discretely observed McKean–Vlasov diffusions.
 

Session 5: High-Dimensional Statistics

11h00-11h30 Francesco Iafrate - Network stochastic differential equations: error bounds and graph recovery.
11h30-12h00 Francisco Pina - Consistent support recovery for high-dimensional diffusions.
12h00-12h30 Shogo Nakakita - LASSO Estimation of high-dimensional Ornstein-Uhlenbeck processes with i.i.d. paths.
 

Session 6: Point Processes

14h00-14h30 Nakahiro Yoshida - Point processes applied to high frequency data: ratio model and deep learning.
14h30-15h00 Charlotte Dion-Blanc - Nonparametric estimation of the stationary density for Hawkes-diffusion system.
15h00-15h30 Serguei Dachian - On the estimation of cusp location in a misspecified Poissonian model.
 

Friday 6th June 2025

Session 7: Stochastic Equations (II)

09h00-09h30 Masayuki Uchida - Estimation for a linear parabolic SPDE in two space dimensions with a small noise using triple increments.
09h30-10h00 Arregui Sauri - Estimating non-linear functionals of trawl processes. 
10h00-10h30 Bowen Fang - Splitting methods for one-dimensional SDEs and parameter inference.
 

Session 8: Jump Processes (I)

11h00-11h30 Hiroki Masuda - Jump-resistant volatility regression.
11h30-12h00 Taher Jalal - Adaptive minimax estimation for discretely observed Levy processes.
12h00-12h30 Malo Sahin - A dependent and censored first hitting-time model with compound Poisson processes.
 

Session 9: Jump Processes (II)

14h00-14h30  Elise Bayraktar - Volatility and jump activity estimation in a stable Cox-Ingersoll-Ross model.
14h30-15h00 Thi Bao Trâm Ngo - Efficient estimation for stable-Lévy stochastic differential equations.