A Distribution-Free Theory of Nonparametric Regression
The regression estimation problem has a long history. Already in 1632 Galileo Galilei used a procedure which can be interpreted as ?tting a linear relationship to contaminated observed data. Such ?tting of a line through a cloud of points is the classical linear regression problem. A solution of thi...
Main Authors: | Györfi, László (Author), Kohler, Michael (Author), Krzyżak, Adam (Author), Walk, Harro (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
New York, NY :
Springer New York,
2002.
|
Series: | Springer Series in Statistics,
|
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Model-Free Prediction and Regression A Transformation-Based Approach to Inference /
by: Politis, Dimitris N.
Published: (2015) -
Bayesian Nonparametrics
by: Ghosh, J. K., et al.
Published: (2003) -
Nonparametric Curve Estimation Methods, Theory, and Applications /
by: Efromovich, Sam
Published: (1999) -
Topics in Nonparametric Statistics Proceedings of the First Conference of the International Society for Nonparametric Statistics /
Published: (2014) -
Linear Regression
by: Olive, David J.
Published: (2017)