2026, Vol.29, No.2, pp.137 - 143
Method for approximating the probability density function of the solution of a stochastic differential equation with a drift has been proposed. The approximation uses Chebyshev-Hermite polynomials composed with the weak approximation of the moments of a solution of the equation. The results of numerical simulation are presented.
Key words:
random processes, stochastic differential equations, Ito integral, probability density function
DOI: https://doi.org/10.5281/zenodo.21104675
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