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Activity Number: 355
Type: Contributed
Date/Time: Tuesday, August 11, 2015 : 10:30 AM to 12:20 PM
Sponsor: IMS
Abstract #316436 View Presentation
Title: Kernel Estimation in Semiparametric and Nonparametric Regression for One-Dimensional Transformation of Gaussian Processes
Author(s): Sucharita Ghosh*
Companies: Swiss Federal Research Institute WSL
Keywords: long memory ; smoothing ; characteristic function
Abstract:

We consider kernel estimation for semiparametric and nonparametric regression with errors that are one dimensional transformation of a Gaussian process. Asymptotic results are given under specific correlation structures. Considering kernels that have absolutely integrable characteristic functions, we give simple proof of uniform consistency of the curve estimates. Examples from time series and spatial data analysis are considered.

Authors who are presenting talks have a * after their name.

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