  An autoregressive model with a power-law type memory kernel is studied as a
stochastic process that exhibits a self-affine-fractal-like behavior for a
small time scale. We find numerically that the root-mean-square displacement
for the time interval increases with a power law for small time but saturates
at sufficiently large time. The exponent changes with the power exponent of the
memory kernel.
