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From the 1 of 5 linked papers with an AI index.

activity
20242026
collaborators

5 papers

stat.AP2026

Rainfall is rough

Thomas Deschatre, Marc Hoffmann, Mathieu Rosenbaum

The paper introduces a rainfall model that combines high‑frequency and long‑term data using Hawkes processes with power‑law kernels, showing that aggregated rainfall behaves like a…

stat.ML2026

Input Convex Kolmogorov Arnold Networks

Thomas Deschatre, Xavier Warin

This article presents an input convex neural network architecture using Kolmogorov-Arnold networks (ICKAN). Two specific networks are presented: the first is based on a low-order,…

math.ST2025

A non-local estimator for locally stationary Hawkes processes

Thomas Deschatre, Pierre Gruet, Antoine Lotz

We consider the problem of estimating the parameters of a non-stationary Hawkes process with time-dependent reproduction rate and baseline intensity. Our approach relies on the sta…

math.PR2025

Some limit theorems for locally stationary Hawkes processes

Thomas Deschatre, Pierre Gruet, Antoine Lotz

We prove a law of large numbers and functional central limit theorem for a class of multivariate Hawkes processes with time-dependent reproduction rate. We address the difficulties…

q-fin.TR2024

Battery valuation on electricity intraday markets with liquidity costs

Enzo Cognéville, Thomas Deschatre, Xavier Warin

In this paper, we propose a complete modelling framework to value several batteries in the electricity intraday market at the trading session scale. The model consists of a stochas…