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Predicting credit card debt recovery rates: an empirical study using generalised additive models

Predicting credit card debt recovery rates: an empirical study using generalised additive models
Predicting credit card debt recovery rates: an empirical study using generalised additive models
Mues, Christophe
07438e46-bad6-48ba-8f56-f945bc2ff934
Calabrese, Raffaella
903dd66c-f679-4d7d-bd41-38a5cfbfb420
So, Mee
c6922ccf-547b-485e-8b74-a9271e6225a2
Mues, Christophe
07438e46-bad6-48ba-8f56-f945bc2ff934
Calabrese, Raffaella
903dd66c-f679-4d7d-bd41-38a5cfbfb420
So, Mee
c6922ccf-547b-485e-8b74-a9271e6225a2

Mues, Christophe, Calabrese, Raffaella and So, Mee (2018) Predicting credit card debt recovery rates: an empirical study using generalised additive models. In 29th European Conference on Operational Research.

Record type: Conference or Workshop Item (Paper)

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More information

Published date: 11 July 2018
Venue - Dates: 29th European Conference on Operational Research, , Valencia, Spain, 2018-07-08 - 2018-07-11

Identifiers

Local EPrints ID: 423029
URI: http://eprints.soton.ac.uk/id/eprint/423029
PURE UUID: 21e77fb6-0a56-430a-ae31-f94b93fc799a
ORCID for Christophe Mues: ORCID iD orcid.org/0000-0002-6289-5490
ORCID for Mee So: ORCID iD orcid.org/0000-0002-8507-4222

Catalogue record

Date deposited: 10 Aug 2018 16:30
Last modified: 08 Apr 2022 01:38

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Contributors

Author: Christophe Mues ORCID iD
Author: Raffaella Calabrese
Author: Mee So ORCID iD

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