An information approach to regularization parameter selection under model misspecification

DOI10.1088/0266-5611/18/5/301zbMath1022.62004OpenAlexW1982725518MaRDI QIDQ4780594

Robert E. Uhrig, J. Wesley Hines, Aleksey M. Urmanov, Andrei V. Gribok

Publication date: 2 November 2003

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/279b2cb7db3ed0e62703602f0c66fb5cf65fac4b

zbMATH Keywords

linear models

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Statistical aspects of information-theoretic topics (62B10)

Related Items (1)

Selection of artificial neural network models for survival analysis with genetic algorithms

Uses Software

• Unnamed Item

This page was built for publication: An information approach to regularization parameter selection under model misspecification