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 [UMR 7348]

Domaines: Statistiques [math.ST]

Yousri Slaoui, Salim Bouzebda. Large and moderate deviation principles for recursive kernel estimators of a regression function for spatial data defined by stochastic approximation method. Statistics and Probability Letters, 2019, 151, pp.17-28. ⟨10.1016/j.spl.2019.03.007⟩. ⟨hal-02077417⟩