| Consider the approximate bias and variance of the MLE of an adaptive linear model (including AR(p) models). First, I will present an approach by Woodroofe and Coad (1998), which involves differentiating the fundamental identity of sequential analysis. Then, I will discuss two related topics -- bias calculations for a threshold AR model and confidence sets for a stationary AR(p) model. |