Non-asymptotic Confidence Estimation of the Autoregressive Parameter in ARMA(1,q) Model

The article deals with the problem of confidence estimation of the autoregressive parameter of the ARMA(1, q) process in a non-asymptotic statement. It is assumed that the noise of the process is Gaussian with an unknown variance. The problem is solved by using a sequential modification of the Yule-Walker estimate.