x0: the value of the process at time t0; see details.
t0: initial time.
theta: parameter of the process; see details.
log: logical; if TRUE, probabilities p are given as log(p).
d: drift coefficient as a function; see details.
s: diffusion coefficient as a function; see details.
sx: partial derivative w.r.t. x of the diffusion coefficient; see details.
Details
This function returns the value of the conditional density of X(t)∣X(t0)=x0 at point x.
All the functions d, s, and sx must be functions of t, x, and theta.
Returns
x: a numeric vector
Author(s)
Stefano Maria Iacus
References
Elerian, O. (1998) A note on the existence of a closed form conditional density for the Milstein scheme, Working Paper, Nuffield College, Oxford University. Available at http://www.nuff.ox.ac.uk/economics/papers/