ɛ-Strong Simulation of Fractional Brownian Motion and Related Stochastic Differential Equations
From MaRDI portal
Publication:5000646
DOI10.1287/moor.2020.1078OpenAlexW3127306678WikidataQ115239504 ScholiaQ115239504MaRDI QIDQ5000646
Publication date: 15 July 2021
Published in: Mathematics of Operations Research (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1902.07824
Related Items
Anomalous diffusion: fractional Brownian motion vs fractional Ito motion ⋮ Strong approximation of some particular one-dimensional diffusions
Cites Work
- Unnamed Item
- On the exact and \(\varepsilon\)-strong simulation of (jump) diffusions
- \(\varepsilon\)-strong simulation for multidimensional stochastic differential equations via rough path analysis
- A construction of the rough path above fractional Brownian motion using Volterra's representation
- A series expansion of fractional Brownian motion
- Controlled differential equations as Young integrals: a simple approach
- Generalized Gaussian bridges
- Steady-state simulation of reflected Brownian motion and related stochastic networks
- Differential equations driven by rough signals
- Wavelets, generalized white noise and fractional integration: The synthesis of fractional Brownian motion
- Optimal series representation of fractional Brownian sheets
- Stochastic analysis, rough path analysis and fractional Brownian motions.
- Rate optimality of wavelet series approximations of fractional Brownian motion
- \(\varepsilon\)-strong simulation of the Brownian path
- On logarithmically optimal exact simulation of max-stable and related random fields on a compact set
- Exact simulation of diffusions
- The wavelet-based synthesis for fractional Brownian motion proposed by F. Sellan and Y. Meyer: Remarks and fast implementation
- ON SPECTRAL SIMULATION OF FRACTIONAL BROWNIAN MOTION
- On exact sampling of stochastic perpetuities
- The Fitting of Time-Series Models
- Multilevel Monte Carlo Path Simulation
- Perfect sampling for infinite server and loss systems
- Differential Equations Driven by Rough Paths: An Approach via Discrete Approximation
- Tests for Hurst effect
- Fast and Exact Simulation of Stationary Gaussian Processes through Circulant Embedding of the Covariance Matrix
- Localization and Exact Simulation of Brownian Motion-Driven Stochastic Differential Equations
- Nearly Optimal Bernoulli Factories for Linear Functions