Asymptotic analysis of ML-covariance parameter estimators based on covariance approximations
DOI10.1214/23-ejs2170arXiv2112.12317OpenAlexW4388656461MaRDI QIDQ6184897
Reinhard Furrer, Michael Hediger
Publication date: 5 January 2024
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2112.12317
consistencyasymptotic normalitylikelihood approximationsGaussian random fieldscovariance taperingcompactly supported covariance functions
Asymptotic properties of parametric estimators (62F12) Inference from spatial processes (62M30) Non-Markovian processes: estimation (62M09) Approximation by other special function classes (41A30)
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