Stochastic differential equations for orthogonal eigenvectors of (G,ε)-Wishart process related to multivariate G-fractional Brownian motion
DOI10.5269/BSPM.51618OpenAlexW4313579780MaRDI QIDQ6194618
Hacène Boutabia, Rania Bougherra, Manel Belksier
Publication date: 16 February 2024
Published in: Boletim da Sociedade Paranaense de Matemática (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.5269/bspm.51618
eigenvaluesrandom matriceseigenvectors\(G\)-Brownian motion\(G\)-multivariate fractional Brownian motion\(G\)-Wishart process
Random matrices (probabilistic aspects) (60B20) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Stochastic integrals (60H05)
Cites Work
- Multivariate Wavelet Whittle Estimation in Long-range Dependence
- An approximate approach to fractional stochastic integration and its applications
- Function spaces and capacity related to a sublinear expectation: application to \(G\)-Brownian motion paths
- Integral representations and properties of operator fractional Brownian motions
- Pathwise properties and homeomorphic flows for stochastic differential equations driven by \(G\)-Brownian motion
- Diffusions of perturbed principal component analysis
- Stochastic calculus with respect to fractional Brownian motion with Hurst parameter lesser than 1/2
- Fractional Wishart processes and \(\varepsilon\)-fractional Wishart processes with applications
- Stochastic differential equations for eigenvalues and eigenvectors of a \(G\)-Wishart process with drift
- Multi-dimensional \(G\)-Brownian motion and related stochastic calculus under \(G\)-expectation
- Chaotic expansion in the G-expectation space
- FRACTIONAL WHITE NOISE CALCULUS AND APPLICATIONS TO FINANCE
- Stochastic differential equations for random matrices processes in the nonlinear framework
- Fractional Brownian Motions, Fractional Noises and Applications
This page was built for publication: Stochastic differential equations for orthogonal eigenvectors of (G,ε)-Wishart process related to multivariate G-fractional Brownian motion