Comments on: Modular regression—a Lego system for building structured additive distributional regression models with tensor product interactions

Research output: Contribution to journalComment/debate

Abstract

This note considers several technical points concerning the work of Kneib, Klein, Lang, and Umlauf. These points are related to the use of basis functions versus function spaces, types of covariates, and model identifiability.

Original languageEnglish (US)
Pages (from-to)43-45
Number of pages3
JournalTest
Volume28
Issue number1
DOIs
StatePublished - Mar 12 2019

Fingerprint

Tensor Product
Regression Model
Identifiability
Interaction
Function Space
Basis Functions
Covariates
Regression model
Language
Model

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

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title = "Comments on: Modular regression—a Lego system for building structured additive distributional regression models with tensor product interactions",
abstract = "This note considers several technical points concerning the work of Kneib, Klein, Lang, and Umlauf. These points are related to the use of basis functions versus function spaces, types of covariates, and model identifiability.",
author = "Reimherr, {Matthew Logan}",
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