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Discussion of ‘a general framework for functional regression modelling’ by Greven and Scheipl

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Abstract We discuss the challenge in properly assessing the uncertainty of the estimates produced by the R package pffr, especially as it pertains to constructing confidence bands and computing p-values… Click to show full abstract

Abstract We discuss the challenge in properly assessing the uncertainty of the estimates produced by the R package pffr, especially as it pertains to constructing confidence bands and computing p-values in functional linear models. We also present an approach that partially addresses some of these issues. Simulations are provided to help articulate these ideas.

Keywords: functional regression; framework functional; discussion general; regression modelling; modelling greven; general framework

Journal Title: Statistical Modelling
Year Published: 2017

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