Large and moderate deviation principles for recursive kernel estimators of a regression function for spatial data defined by stochastic approximation method

Yousri Slaoui; Salim Bouzebda

doi:10.1016/j.spl.2019.03.007

Journal articles

Large and moderate deviation principles for recursive kernel estimators of a regression function for spatial data defined by stochastic approximation method

Yousri Slaoui ¹ Salim Bouzebda

1 LMA-Poitiers - Laboratoire de Mathématiques et Applications

Document type :

Journal articles

Domain :

Mathematics [math] / Statistics [math.ST]

Complete list of metadatas

https://hal-univ-poitiers.archives-ouvertes.fr/hal-02077417
Contributor : Yousri Slaoui <>
Submitted on : Friday, March 22, 2019 - 5:35:17 PM
Last modification on : Tuesday, June 16, 2020 - 9:25:45 AM

Large and moderate deviation principles for recursive kernel estimators of a regression function for spatial data defined by stochastic approximation method

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Large and moderate deviation principles for recursive kernel estimators of a regression function for spatial data defined by stochastic approximation method

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