Construction of maximum likelihood estimator in the mixed fractional–fractional Brownian motion model with double long-range dependence        
        
    
        Volume 2, Issue 2 (2015), pp. 147–164
            
    
                    Pub. online: 20 July 2015
                    
        Type: Research Article
            
                
            
Open Access
        
            
    
                Received
17 June 2015
                                    17 June 2015
                Revised
7 July 2015
                                    7 July 2015
                Accepted
7 July 2015
                                    7 July 2015
                Published
20 July 2015
                    20 July 2015
Abstract
We construct an estimator of the unknown drift parameter $\theta \in \mathbb{R}$ in the linear model 
 
where ${B}^{H_{1}}$ and ${B}^{H_{2}}$ are two independent fractional Brownian motions with Hurst indices $H_{1}$ and $H_{2}$ satisfying the condition $\frac{1}{2}\le H_{1}<H_{2}<1$. Actually, we reduce the problem to the solution of the integral Fredholm equation of the 2nd kind with a specific weakly singular kernel depending on two power exponents. It is proved that the kernel can be presented as the product of a bounded continuous multiplier and weak singular one, and this representation allows us to prove the compactness of the corresponding integral operator. This, in turn, allows us to establish an existence–uniqueness result for the sequence of the equations on the increasing intervals, to construct accordingly a sequence of statistical estimators, and to establish asymptotic consistency.
            References
 Jost, C.: Transformation formulas for fractional Brownian motion. Stochastic Processes and their Applications 116(10), 1341–1357 (2006) MR2260738. doi:10.1016/j.spa.2006.02.006 
 Mishura, Y.: Maximum likelihood drift estimation for the mixing of two fractional Brownian motions. arXiv preprint arXiv:1506.04731v1 (2015)