Intrinsic random functions and the paradox of l/f noise
SIAM Journal on Applied Mathematics
Modelling extremal events: for insurance and finance
Modelling extremal events: for insurance and finance
Real-time estimation of the parameters of long-range dependence
IEEE/ACM Transactions on Networking (TON)
Journal of Multivariate Analysis
Modified Whittle estimation of multilateral models on a lattice
Journal of Multivariate Analysis
Estimation of intrinsic processes affected by additive fractal noise
Journal of Multivariate Analysis
Local Whittle estimator for anisotropic random fields
Journal of Multivariate Analysis
Fractal estimation from noisy data via discrete fractional Gaussiannoise (DFGN) and the Haar basis
IEEE Transactions on Signal Processing
Estimation of fractal signals from noisy measurements usingwavelets
IEEE Transactions on Signal Processing
Wavelet analysis of long-range-dependent traffic
IEEE Transactions on Information Theory
Characterization and estimation of two-dimensional ARMA models
IEEE Transactions on Information Theory
Parameter estimation for operator scaling random fields
Journal of Multivariate Analysis
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A flexible class of anisotropic stationary lattice processes with long memory can be defined in terms of a two-way fractional ARIMA (FARIMA) representation. We consider parameter estimation based on minimizing an approximate residual sum of squares. The method can be applied to sampling areas that are not necessarily rectangular. A central limit theorem is derived under general conditions. The method is illustrated by an analysis of satellite data consisting of total column ozone amounts in Europe and the Atlantic respectively.