Abstract
Following the results presented in [21], we present
an efficient approach to the Schur parametrization/modeling of a
subclass of second-order time-series which we term p-stationary
time-series, yielding a uniform hierarchy of algorithms suitable
for efficient implementations and being a good starting point
for nonlinear generalizations to higher-order non-Gaussian nearstationary
time-series.
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