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

Publication date: Available online 22 March 2019Source: Statistics & Probability LettersAuthor(s): Salim Bouzebda, Yousri SlaouiAbstractIn 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.

Source: Statistics and Probability Letters - March 24, 2019 Category: Statistics Source Type: research