Mathematical Research Data Initiative
Main page
Recent changes
Random page
Help about MediaWiki
Create a new Item
Create a new Property
Merge two items
In other projects
Discussion
View source
View history
Purge
English
Log in

Parametric and non-parametric combination model to enhance overall performance on default prediction

From MaRDI portal
Publication:890642
Jump to:navigation, search

DOI10.1007/S11424-014-3273-8zbMath1378.62129OpenAlexW1980750278MaRDI QIDQ890642

Liang Pan, Muzi Chen, Jun Li, Xiao-guang Yang

Publication date: 10 November 2015

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-014-3273-8


zbMATH Keywords

decision treesupport vector machinebinary logistic regressionK-means clusteringmultiple discriminant analysisprobability of defaultcombination model


Mathematics Subject Classification ID

Applications of statistics to actuarial sciences and financial mathematics (62P05)


Related Items (1)

An improved sensor fault diagnosis scheme based on TA-LSSVM and ECOC-SVM




Cites Work

  • Credit risk assessment using a multicriteria hierarchical discrimination approach: a comparative analysis
  • A note on Platt's probabilistic outputs for support vector machines
  • Managerial Applications of Neural Networks: The Case of Bank Failure Predictions




This page was built for publication: Parametric and non-parametric combination model to enhance overall performance on default prediction

Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Publication:890642&oldid=12845906"
Tools
What links here
Related changes
Special pages
Printable version
Permanent link
Page information
MaRDI portal item
This page was last edited on 30 January 2024, at 16:04.
Privacy policy
About MaRDI portal
Disclaimers
Imprint
Powered by MediaWiki