Semi-supervised adapted HMMs for P2P credit scoring systems with reject inference

DOI10.1007/s00180-022-01220-9OpenAlexW4280514102MaRDI QIDQ6104407

Badreddine Benyacoub, Mohamed Ouzineb, Monir El Annas

Publication date: 15 June 2023

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-022-01220-9

zbMATH Keywords

hidden Markov modelscredit scoringreject inferencesemi-supervised learningP2P lending

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Cites Work

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• Benchmarking state-of-the-art classification algorithms for credit scoring: an update of research
• Reject inference, augmentation, and sample selection
• Sample selection bias in credit scoring models
• An Introduction to the Application of the Theory of Probabilistic Functions of a Markov Process to Automatic Speech Recognition
• A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
• A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings

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