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 metadata

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 : Saturday, May 29, 2021 - 10:34:13 PM

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

Links full text

Identifiers

Collections

Citation

Export

Metrics

70

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

Links full text

Identifiers

Collections

Citation

Export

Share

Metrics

70