Analytical modeling of normal processes in Volterra stochastic systems

For multidimensional differential Volterra stochastic systems (VStS) with Gaussian and non-Gaussian additive and parametric white noises, two efficient methods based on the method of normal approximation and linear parametric StS theory are described. Equations for one- and multidimensional Gaussian distributions are given. Test examples for one and two populations are discussed. Special attention is paid to hereditary VStS. Some generalizations are considered.