Kernel regression estimation for random fields
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Publication:866620
DOI10.1016/j.jspi.2006.06.008zbMath1104.62105OpenAlexW2056439351MaRDI QIDQ866620
Lanh Tat Tran, Christian Francq, Michel Carbon
Publication date: 14 February 2007
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.2006.06.008
Inference from spatial processes (62M30) Random fields; image analysis (62M40) Nonparametric regression and quantile regression (62G08) Nonparametric estimation (62G05)
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Uses Software
Cites Work
- Kernel density estimation on random fields
- On the central limit theorem for stationary mixing random fields
- Nonparametric resampling for homogeneous strong mixing random fields
- Kernel density estimation for random fields. (Density estimation for random fields)
- The functional law of the iterated logarithm for stationary strongly mixing sequences
- Local linear spatial regression
- [https://portal.mardi4nfdi.de/wiki/Publication:3313020 Vitesse de convergence du th�or�me de la limite centrale pour des champs faiblement d�pendants]
- An Approach to Proving Limit Theorems for Dependent Random Variables
- Analysing Data from Hormone-Receptor Assays
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