LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Asymptotic normality of a robust kernel estimator of the regression function for functional ergodic data: Case of an unknown scale parameter

Photo by calum_mac from unsplash

Abstract Under a nonparametric robust regression model, we consider the problem of estimating the score function ψ x for a fixed x in a functional space and with unknown scale… Click to show full abstract

Abstract Under a nonparametric robust regression model, we consider the problem of estimating the score function ψ x for a fixed x in a functional space and with unknown scale parameter. The principal aim of this work is to establish the asymptotic normality of this estimator for a stationary ergodic process without any use of traditional mixing conditions.

Keywords: regression; unknown scale; asymptotic normality; function; scale parameter

Journal Title: Comptes Rendus Mathematique
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.