Explorative methods in linear models

Agnar Høskuldsson

Explorative methods in linear models

Agnar Høskuldsson

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

The author has developed the H-method of mathematical modeling that builds up the model by parts, where each part is optimized with respect to prediction. Besides providing with better predictions than traditional methods, these methods provide with graphic procedures for analyzing different features in data. These graphic methods extend the well-known methods and results of Principal Component Analysis to any linear model. Here the graphic procedures are applied to linear regression and Ridge Regression.

Original language	English
Title of host publication	Symposium i Anvendt Statistik
Editors	Anders Holm
Publication date	2004
Publication status	Published - 2004
Event	Symposium i Anvendt Statistik 2004 - København, Denmark Duration: 5 Nov 2004 → …

Conference

Conference	Symposium i Anvendt Statistik 2004
Country/Territory	Denmark
City	København
Period	05/11/2004 → …

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title = "Explorative methods in linear models",

abstract = "The author has developed the H-method of mathematical modeling that builds up the model by parts, where each part is optimized with respect to prediction. Besides providing with better predictions than traditional methods, these methods provide with graphic procedures for analyzing different features in data. These graphic methods extend the well-known methods and results of Principal Component Analysis to any linear model. Here the graphic procedures are applied to linear regression and Ridge Regression.",

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PY - 2004

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AB - The author has developed the H-method of mathematical modeling that builds up the model by parts, where each part is optimized with respect to prediction. Besides providing with better predictions than traditional methods, these methods provide with graphic procedures for analyzing different features in data. These graphic methods extend the well-known methods and results of Principal Component Analysis to any linear model. Here the graphic procedures are applied to linear regression and Ridge Regression.

KW - H-method

KW - linear models

M3 - Article in proceedings

BT - Symposium i Anvendt Statistik

A2 - null, Anders Holm

T2 - Symposium i Anvendt Statistik 2004

Y2 - 5 November 2004

ER -

Explorative methods in linear models

Abstract

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