  We study certain infinite-dimensional probability measures in connection with
frame analysis. Earlier work on frame-measures has so far focused on the case
of finite-dimensional frames. We point out that there are good reasons for a
sharp distinction between stochastic analysis involving frames in finite vs
infinite dimensions. For the case of infinite-dimensional Hilbert space
$\mathcal{H}$, we study three cases of measures. We first show that, for
$\mathcal{H}$ infinite dimensional, 1 one must resort to infinite dimensional
measure spaces which properly contain $\mathcal{H}$. The three cases we
consider are: (i) Gaussian frame measures, (ii) Markov path-space measures, and
(iii) determinantal measures.
