Modelling Turbulent Time Series by BSS-Processes
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Publication:2956046
DOI10.1007/978-3-319-25826-3_3zbMath1354.60075OpenAlexW2252767623MaRDI QIDQ2956046
José Ulises Márquez, Jürgen Schmiegel
Publication date: 16 January 2017
Published in: The Fascination of Probability, Statistics and their Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-25826-3_3
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Statistical turbulence modeling (76F55) Applications of stochastic analysis (to PDEs, etc.) (60H30) Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) (60J70)
Related Items (4)
On the divergence and vorticity of vector ambit fields ⋮ Incremental Similarity and Turbulence ⋮ Pathwise Decompositions of Brownian Semistationary Processes ⋮ Limit theorems for trawl processes
Cites Work
- Stochastic energy-cascade model for \((1+1)\)-dimensional fully developed turbulence
- A random process for the construction of multiaffine fields
- Asymptotic theory for Brownian semi-stationary processes with application to turbulence
- Self-scaling of turbulent energy dissipation correlators
- Hierarchical Monte Carlo methods for fractal random fields
- High-frequency sampling and kernel estimation for continuous-time moving average processes
- A Stochastic Differential Equation Framework for the Timewise Dynamics of Turbulent Velocities
- A refinement of previous hypotheses concerning the local structure of turbulence in a viscous incompressible fluid at high Reynolds number
- Random cascades on wavelet dyadic trees
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