Nonparametric Regression

Ludwig Fahrmeir (), Thomas Kneib (), Stefan Lang () and Brian D. Marx ()
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Ludwig Fahrmeir: LMU Munich, Institute of Statistics
Thomas Kneib: University of Göttingen, Statistics and Econometrics
Stefan Lang: University of Innsbruck, Department of Statistics
Brian D. Marx: Louisiana State University

Chapter Chapter 8 in Regression, 2021, pp 431-553 from Springer

Abstract: Abstract The main goal Nonparametric regression Smoothingof nonparametric regression is the flexible modeling of effects of continuous covariates on a dependent variable. We have already seen in several practical applications that a purely linear model was not always sufficient. This insufficiency could either result from theoretical considerations about the given application or simply from uncertainty about the specific form of an effect that a covariate has on the response.

Date: 2021
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DOI: 10.1007/978-3-662-63882-8_8

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