This file implements the time integration of a system of stochastic differential equations (SDEs), with linear drift and constant diffusion, whose invariant is the joint normal distribution.

In a nutshell, the equation integrated governs a set of scalars, , , as

with parameter vectors , , and symmetric positive semi-definite diffusion matrix . Here is an isotropic vector-valued Wiener process with independent increments. The invariant distribution is the joint normal distribution. This system of SDEs consists of N coupled equations, each being a single-variate Ornstein-Uhlenbeck process.

From the Fokker-Planck equation, equivalent to the SDE above, the equations governing the means, , are

while the equation governing the covariance matrix, , is

Ornstein-Uhlenbeck SDE used polymorphically with DiffEq.

Tab / T to search, Esc to close

…

Search for symbols, directories, files, pages or modules. You can omit any
prefix from the symbol or file path; adding a : or /
suffix lists all members of given symbol or directory. Navigate through the
list using ↓ and
↑, press
Enter to go.