EconPapers    
Economics at your fingertips  
 

Stochastic Complexity: Long Memory, Non‑Gaussian Chaos, and Energy Dynamics in Hilbert Space

Complexité stochastique: mémoire longue, chaos non gaussiens et dynamiques énergétiques en espace de Hilbert

Heriony Rapelanoro Rabenja ()
Additional contact information
Heriony Rapelanoro Rabenja: FFJ - Fondation France-Japon de l'EHESS - EHESS - École des hautes études en sciences sociales

Working Papers from HAL

Keywords: Energy‑based modeling; higher‑order dependence; backward fractional SDEs; regime transitions volatility clustering heavy‑tailed distributions asymmetries structural breaks; Complex systems multiscale propagation; functional energy dynamics; Volterra functionals; Boltzmann distributions; Hopfield networks; energy‑based models; energy landscapes; functional gradients; Szegő isomorphism; symmetric tensor spaces; Hilbert space methods; Reproducing Kernel Hilbert Spaces (RKHS) (search for similar items in EconPapers)
Date: 2025-02-25
Note: View the original document on HAL open archive server: https://ehess.hal.science/hal-05522560v1
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ehess.hal.science/hal-05522560v1/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-05522560

Access Statistics for this paper

More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2026-04-07
Handle: RePEc:hal:wpaper:hal-05522560