Modeling and identification of a sequence of dependent random variables with a symmetric stable distribution

We model a stationary random sequence whose elements have a symmetric absolutely continuous stable distribution. The joint distribution of the elements of the sequence is determined by three parameters: the Hurst parameter, a stable law parameter, and a scale parameter. We justify and implement strongly consistent methods for estimating these parameters. We compare various methods for parameter estimation.