Abstract
This paper establishes the asymptotic behaviour for the covariance matrix and the limit distributions of the least squares estimators for a regression coefficients in a multivariate continuous regression models with long-memory Gaussian errors. The used method is based on the asymptotic analysis of orthogonal expansion of non-linear functionals of homogeneous and isotropic Gaussian random fields.
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