ABSTRACT

The autoregressive model has been selected because of its simplicity and pedagogical virtues. We nevertheless believe that several of the procedures described below will be new to many readers~despite the widespread use of AR models in everyday practice. And, the results described here can be expected to hold, with adequate modification, in much more general semiparametric situations: mixed ARMA models, random coefficient AR models, models with ARCH or GARCH innovation processes, nonlinear models, etc.