The University of Southampton
University of Southampton Institutional Repository

Behavior based time-to-default predictions

Behavior based time-to-default predictions
Behavior based time-to-default predictions
42-43
Óskarsdóttir, María
1622b6dd-5d25-4228-9418-a1729e9577e0
Bravo, Cristian
b22c4145-644e-40ee-85d8-431c59c3c71b
Baesens, Bart
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Vanthienen, Jan
6f3d818f-0fce-46fa-966b-160e645caf6d
Óskarsdóttir, María
1622b6dd-5d25-4228-9418-a1729e9577e0
Bravo, Cristian
b22c4145-644e-40ee-85d8-431c59c3c71b
Baesens, Bart
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Vanthienen, Jan
6f3d818f-0fce-46fa-966b-160e645caf6d

Óskarsdóttir, María, Bravo, Cristian, Baesens, Bart and Vanthienen, Jan (2018) Behavior based time-to-default predictions. Third Conference on Business Analytics in Finance and Industry, Facultad de Economia, Universidad de Chile, Santiago, Chile. 17 - 19 Jan 2018. pp. 42-43 .

Record type: Conference or Workshop Item (Other)

This record has no associated files available for download.

More information

Published date: 23 January 2018
Venue - Dates: Third Conference on Business Analytics in Finance and Industry, Facultad de Economia, Universidad de Chile, Santiago, Chile, 2018-01-17 - 2018-01-19

Identifiers

Local EPrints ID: 419211
URI: http://eprints.soton.ac.uk/id/eprint/419211
PURE UUID: 7a41e420-5918-4627-9ac0-e6d56fc0123a
ORCID for Cristian Bravo: ORCID iD orcid.org/0000-0003-1579-1565
ORCID for Bart Baesens: ORCID iD orcid.org/0000-0002-5831-5668

Catalogue record

Date deposited: 09 Apr 2018 16:30
Last modified: 16 Mar 2024 04:00

Export record

Contributors

Author: María Óskarsdóttir
Author: Cristian Bravo ORCID iD
Author: Bart Baesens ORCID iD
Author: Jan Vanthienen

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×