  We consider a nonparametric version of the integer-valued GARCH(1,1) model
for time series of counts. The link function in the recursion for the variances
is not specified by finite-dimensional parameters, but we impose nonparametric
smoothness conditions. We propose a least squares estimator for this function
and show that it is consistent with a rate that we conjecture to be nearly
optimal.
