This paper studies a problem of determining the level of certain decisions, taken prior to certain events taking place, and the subsequent additional resource procurement decisions needed to implement the initial program once these events have materialised. The problem is formulated first of all...

The score vector for a time series model which fits into the Gaussian state space form can be approximated by numerically differentiating the log-likelihood. If the parameter vector is of length p, this involves the running of p + 1 Kalman filters. This paper shows the score vector can be...