Dimension Reduction and Discretization in Stochastic Problems
                by Regression Method

Ove Dalager Ditlevsen

Dimension Reduction and Discretization in Stochastic Problems by Regression Method

Ove Dalager Ditlevsen

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

Abstract

The chapter mainly deals with dimension reduction and field discretizations based directly on the concept of linear regression. Several examples of interesting applications in stochastic mechanics are also given.Keywords: Random fields discretization, Linear regression, Stochastic interpolation, Slepian models, Stochastic finite elements.

Original language	English
Title of host publication	Mathematical Models for Structural Reliability Analysis
Place of Publication	Boca Raton
Publisher	CRC Press
Publication date	1996
Pages	51-138
Publication status	Published - 1996

OpenUrl availability

Full text

Cite this

@inproceedings{466a55b519c54f3480649181703566f6,

title = "Dimension Reduction and Discretization in Stochastic Problems by Regression Method",

abstract = "The chapter mainly deals with dimension reduction and field discretizations based directly on the concept of linear regression. Several examples of interesting applications in stochastic mechanics are also given.Keywords: Random fields discretization, Linear regression, Stochastic interpolation, Slepian models, Stochastic finite elements.",

author = "Ditlevsen, {Ove Dalager}",

year = "1996",

language = "English",

pages = "51--138",

booktitle = "Mathematical Models for Structural Reliability Analysis",

publisher = "CRC Press",

}

TY - GEN

T1 - Dimension Reduction and Discretization in Stochastic Problems by Regression Method

AU - Ditlevsen, Ove Dalager

PY - 1996

Y1 - 1996

N2 - The chapter mainly deals with dimension reduction and field discretizations based directly on the concept of linear regression. Several examples of interesting applications in stochastic mechanics are also given.Keywords: Random fields discretization, Linear regression, Stochastic interpolation, Slepian models, Stochastic finite elements.

AB - The chapter mainly deals with dimension reduction and field discretizations based directly on the concept of linear regression. Several examples of interesting applications in stochastic mechanics are also given.Keywords: Random fields discretization, Linear regression, Stochastic interpolation, Slepian models, Stochastic finite elements.

M3 - Article in proceedings

SP - 51

EP - 138

BT - Mathematical Models for Structural Reliability Analysis

PB - CRC Press

CY - Boca Raton

ER -