Recovery process optimization using survival regression-Reference-Cited by-同舟云学术

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Recovery process optimization using survival regression

Published:2022-03-29 Issue:5 Volume:22 Page:5269-5296
ISSN:1109-2858
Container-title:Operational Research
language:en
Short-container-title:Oper Res Int J

Author:

Witzany Jiří^ORCID,Kozina Anastasiia

Funder

Vysoká Škola Ekonomická v Praze

Grantová Agentura České Republiky

Publisher

Springer Science and Business Media LLC

Subject

Management of Technology and Innovation,Computational Theory and Mathematics,Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Modeling and Simulation,Numerical Analysis

Link

https://link.springer.com/content/pdf/10.1007/s12351-022-00703-3.pdf

Reference24 articles.

1. Bellotti A, Crook J (2010) (2010) Time varying and dynamic models for default risk in consumer loans. J R Stat Soc Ser A 173(2):283–305

2. Bellotti A, Crook J (2013) Retail credit stress testing using a discrete hazard model with macroeconomic factors. J Oper Res Soc 65(2014):340–350

3. Cao R, Vilar JM, Devia A (2009) Modelling consumer credit risk via survival analysis. SORT 33(1):3–30

4. Chehrazi N, Weber TA (2015) Dynamic valuation of delinquent credit-card accounts. Manage Sci 61(12):3077–3096

5. Chehrazi N, Glynn PW, Weber TA (2019) Dynamic credit-collections optimization. Manage Sci 65(6):2737–2769

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