📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

An innovative feature selection method for support vector machines and its test on the estimation of the credit risk of default (2018)

First Author: Sariev E
Attributed to:  Systemic Risk Centre funded by ESRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1002/rfe.1049

Publication URI: http://dx.doi.org/10.1002/rfe.1049

Type: Journal Article/Review

Parent Publication: Review of Financial Economics

Issue: 3