An error ina well known lower bound on the performance of nonlinear fi
lters base. on dynamic statistical models is described The error occur
s in the final step of the proof and deletion of this step results in
a valid lower bound which, however, requires evaluation of a condition
al expectation in function space. For the limited, but interesting, cl
ass of linear Gaussian process models, computational methods are descr
ibed.