Time series: theory and methods
Time series: theory and methods
Time series: data analysis and theory
Time series: data analysis and theory
Covariance estimation under spatial dependence
Journal of Multivariate Analysis
Tail estimation of the spectral density for a stationary Gaussian random field
Journal of Multivariate Analysis
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Cross-periodograms can be used to study a multivariate spatial process observed on a lattice. For spatial data, it is often appropriate to study asymptotic properties of statistical procedures under fixed-domain asymptotics in which the number of observations increases in a fixed region while shrinking distances between neighboring observations. Using fixed-domain asymptotics, we prove relative asymptotic unbiasedness and relative consistency of a smoothed cross-periodogram after appropriate filtering of the data. In addition, we show that smoothed cross-periodograms are asymptotically normal when the process is stationary multivariate Gaussian with appropriate assumptions on high-frequency behavior of the spectral density.