Previous papers have established sample-path versions of relations bet
ween marginal time-stationary and event-stationary (Palm) state probab
ilities for a process with an imbedded point process. This paper exten
ds the use of sample-path analysis to provide relations between freque
ncies for arbitrary (measurable) sets in function space, rather than j
ust marginal (one-dimensional) frequencies. We define sample-path anal
ogues of the time-stationary and event-stationary (Palm) probability m
easures for a process with an imbedded point process, and then derive
sample-path versions of the Palm transformation and inversion formulas
.