aeExpectation | R Documentation |
Compute the expected value of functionals.
aeExpectation(f, bounds, ae, eps = 1, order = NULL, ...)
f |
character. The functional. |
bounds |
named list of integration bounds in the form |
ae |
an object of class |
eps |
numeric. The intensity of the perturbation. |
order |
integer. The expansion order. If |
... |
additional arguments passed to |
return value of cubintegrate
. The expectation of the functional provided.
## Not run: # model gbm <- setModel(drift = 'mu*x', diffusion = 'sigma*x', solve.variable = 'x') # settings xinit <- 100 par <- list(mu = 0.01, sigma = 0.2) sampling <- setSampling(Initial = 0, Terminal = 1, n = 1000) # asymptotic expansion approx <- ae(model = gbm, sampling = sampling, order = 4, true.parameter = par, xinit = xinit) # compute the mean via integration aeExpectation(f = 'x', bounds = list(x = c(0,1000)), ae = approx) # compare with the mean computed by differentiation of the characteristic function aeMean(approx) ## End(Not run)
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