Likelihood inference for a nonstationary fractional autoregressive model

We analyze the conditional likelihood and its derivatives as stochastic processes in the parameters, including d and b, and prove that they converge in distribution. We use these results to prove consistency of the maximum likelihood estimator for d,b in a large compact subset of {1/2