Large and moderate deviation principles for recursive kernel estimators of a regression function for spatial data defined by stochastic approximation method
Published in Statistics & Probability Letters, 2019
S. Bouzebda and Y. Slaoui
In the present paper, we are mainly concerned with a family of kernel type estimators based upon spatial data. More precisely, we establish large and moderate deviations principles for the recursive kernel estimators of a regression function for spatial data defined by the stochastic approximation algorithm.
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