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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Functional time series approach for inference on multifractional partial pseudodifferential equations
Functional time series approach for inference on multifractional partial pseudodifferential equationsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact nobody. FDE2 - Fractional differential equations Long Range Dependence (LRD) in functional sequences is characterized in the spectral domain under suitable conditions (see Ruiz-Medina,2021). Particularly, the spectral representation of the discretesampling of the mean-square solution to multifractionalpseudodifferential equations can be approximated by tapering its continuous spectrum. A multifractionally integrated functionalautoregressive moving averages process (MIFAMA process) family is thenobtained. For this family, the convergence to zero in theHilbert-Schmidt operator norm of the integrated bias of the periodogramoperator is proved. Under a Gaussian scenario, a weak—consistentparametric estimator of the long—memory operator is then obtained byminimizing, in the norm of bounded linear operators, a divergenceinformation functional loss. Application of these results to asymptoticinference on multifractional processes, including multifractionalBrownian motion, are illustrated as well.REFERENCERuiz—Medina, M.D. (2021). Spectral analysis of long range dependence infunctional time series. ArXiv: 1912.07086v7. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:
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