Statistical Inference for Fractional Diffusions

Fuente: arXiv
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Hauptverfasser: Alonso-Martin, Pablo Ramses, Boedihardjo, Horatio, Papavasiliou, Anastasia
Format: Preprint
Veröffentlicht: 2026
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author Alonso-Martin, Pablo Ramses
Boedihardjo, Horatio
Papavasiliou, Anastasia
author_facet Alonso-Martin, Pablo Ramses
Boedihardjo, Horatio
Papavasiliou, Anastasia
contents This is a review of statistical inference methodology for stochastic differential equations driven by fractional Brownian motion, otherwise called fractional diffusions. The first section reviews the theory needed to rigorously define them. The second section reviews existing theory of statistical inference for fractional diffusions, identifies remaining challenges and introduces a novel approach. The final section discusses results for the case where fractional diffusions result as a homogenisation limit.
format Preprint
id arxiv_https___arxiv_org_abs_2604_03722
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Statistical Inference for Fractional Diffusions
Alonso-Martin, Pablo Ramses
Boedihardjo, Horatio
Papavasiliou, Anastasia
Probability
Statistics Theory
60L90, 62F12, 35B27
This is a review of statistical inference methodology for stochastic differential equations driven by fractional Brownian motion, otherwise called fractional diffusions. The first section reviews the theory needed to rigorously define them. The second section reviews existing theory of statistical inference for fractional diffusions, identifies remaining challenges and introduces a novel approach. The final section discusses results for the case where fractional diffusions result as a homogenisation limit.
title Statistical Inference for Fractional Diffusions
topic Probability
Statistics Theory
60L90, 62F12, 35B27
url https://arxiv.org/abs/2604.03722