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Non-Gaussian limit distributions for solutions of Burgers equation with strongly dependent random initial conditions
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Veröffentlicht/Copyright:
19. Oktober 2009
Published Online: 2009-10-19
Published in Print: 1994
Walter de Gruyter
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Artikel in diesem Heft
- Some applications of the stochastic representation of elliptically contoured distribution
- General equation for the eigenvalues of empirical covariance matrices I
- Constructive proof of the localization for finite-difference infinite-order operator with random potential
- Asymptotic behavior of spectral function of empirical covariance matrices
- Asymptotic solutions of linear partial differential equations of first order having random coefficients
- Non-Gaussian limit distributions for solutions of Burgers equation with strongly dependent random initial conditions
- Representations of canonical commutation relations defined by Gaussian measure and Gaussian cocycle
- Estimation of states of some recursively defined systems
- Variation of solutions of stochastic differential equations with respect to the initial condition and parameters
Artikel in diesem Heft
- Some applications of the stochastic representation of elliptically contoured distribution
- General equation for the eigenvalues of empirical covariance matrices I
- Constructive proof of the localization for finite-difference infinite-order operator with random potential
- Asymptotic behavior of spectral function of empirical covariance matrices
- Asymptotic solutions of linear partial differential equations of first order having random coefficients
- Non-Gaussian limit distributions for solutions of Burgers equation with strongly dependent random initial conditions
- Representations of canonical commutation relations defined by Gaussian measure and Gaussian cocycle
- Estimation of states of some recursively defined systems
- Variation of solutions of stochastic differential equations with respect to the initial condition and parameters