Sampling efficiency in Monte Carlo analyses

Stochastic processes that are sampled in Monte Carlo analyses can be so complex that sampling efficiency is difficult to attain. To handle these difficulties we introduce a model of the elements of a stochastic process which are relevant to the problem of sampling efficiency. From this model we derive a multistage estimating procedure which automatically adjusts the parameters of an efficient sampling design.