climate statistics 1hawkes processes 1rainfall modeling 1rough volatility 1scaling laws 1time series analysis 1
From the 1 of 3 linked papers with an AI index.
3 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…
math.PR2026
Fake stationary rough Heston volatility: Microstructure-inspired foundations
Emmanuel Gnabeyeu, Gilles Pagès, Mathieu Rosenbaum
This paper investigates the asymptotic behavior of suitably time-modulated Hawkes processes with heavy-tailed kernels in a nearly unstable regime. We show that, under appropriate s…
math.PR2025
On Inhomogeneous Affine Volterra Processes: Stationarity and Applications to the Volterra Heston Model
Emmanuel Gnabeyeu, Gilles Pagès, Mathieu Rosenbaum
True Volterra equations are inherently non stationary and therefore do not admit over finite horizons. This motivates the study of the finite-…