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Nonparametric Regression Estimation for Random Fields in a Fixed-Design

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  • Mohamed Machkouri

Abstract

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Suggested Citation

  • Mohamed Machkouri, 2007. "Nonparametric Regression Estimation for Random Fields in a Fixed-Design," Statistical Inference for Stochastic Processes, Springer, vol. 10(1), pages 29-47, January.
    • Handle: RePEc:spr:sistpr:v:10:y:2007:i:1:p:29-47
    DOI: 10.1007/s11203-005-7332-6
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    Citations

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    Cited by:

    1. Hongxia Wang & Jinde Wang, 2009. "Estimation of the trend function for spatio-temporal models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 21(5), pages 567-588.
    2. El Machkouri, Mohamed & Es-Sebaiy, Khalifa & Ouassou, Idir, 2017. "On local linear regression for strongly mixing random fields," Journal of Multivariate Analysis, Elsevier, vol. 156(C), pages 103-115.
    3. V. Yu. Bogdanskii & O. I. Klesov & I. Molchanov, 2021. "Uniform Strong Law of Large Numbers," Methodology and Computing in Applied Probability, Springer, vol. 23(2), pages 461-470, June.
    4. Francisco José Navarro-González & Yolanda Villacampa & Mónica Cortés-Molina & Salvador Ivorra, 2020. "Numerical Non-Linear Modelling Algorithm Using Radial Kernels on Local Mesh Support," Mathematics, MDPI, vol. 8(9), pages 1-27, September.
    5. Sophie Dabo-Niang & Camille Ternynck & Anne-Françoise Yao, 2016. "Nonparametric prediction of spatial multivariate data," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 28(2), pages 428-458, June.
    6. Peligrad, Magda & Sang, Hailin & Xiao, Yimin & Yang, Guangyu, 2022. "Limit theorems for linear random fields with innovations in the domain of attraction of a stable law," Stochastic Processes and their Applications, Elsevier, vol. 150(C), pages 596-621.

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