Exploring spectral density estimation for spatial linear process with mixing innovations

DOI10.1007/s40065-018-0227-3zbMath1435.62346OpenAlexW2902974334WikidataQ128860343 ScholiaQ128860343MaRDI QIDQ2302708

Leila Hamdad, Ouafae Benrabah, Sophie Dabo-Niang

Publication date: 26 February 2020

Published in: Arabian Journal of Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40065-018-0227-3

zbMATH Keywords

spectral density estimationperiodogrammixing innovations

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Inference from stochastic processes and prediction (62M20) Density estimation (62G07) Stationary stochastic processes (60G10) Inference from stochastic processes and spectral analysis (62M15)

Uses Software

• kzfs

Cites Work

• Unnamed Item
• Automatic spectral density estimation for random fields on a lattice via bootstrap
• Kernel density estimation on random fields
• Spectral density estimation for linear processes with dependent innovations
• Time series: theory and methods.
• Kernel density estimation for random fields. (Density estimation for random fields)
• Moment inequalities for spatial processes
• Fixed-Domain Asymptotics for Spatial Periodograms
• Handbook of Spatial Statistics

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