Kernel density estimators for random fields satisfying an interlaced mixing condition

DOI10.1016/j.jspi.2013.02.003zbMath1278.62051OpenAlexW2077398821MaRDI QIDQ389246

Cristina Tone

Publication date: 20 January 2014

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2013.02.003

zbMATH Keywords

central limit theoremspectral densitieskernel-type estimators\(\rho^\prime\)-mixing\(\zeta\)-mixing

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Density estimation (62G07) Central limit and other weak theorems (60F05) Inference from stochastic processes and spectral analysis (62M15)

Related Items

A central limit theorem for non-stationary strongly mixing random fields

Uses Software

• spatial

Cites Work

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