Wilson Tsakane Mongwe on Muck Rack

Wilson Tsakane Mongwe

Johannesburg
As seen in: PLOS ONE
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Articles

Correction: A novel framework for enhancing transparency in credit scoring: Leveraging Shapley values for interpretable credit scorecards

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By Rivalani Hlongwane, Kutlwano Ramaboa, Wilson Tsakane Mongwe
| PLOS ONE
The second author’s name is spelled incorrectly. The correct name is: Kutlwano Ramaboa. The correct citation is: Hlongwane R, Ramaboa K, Mongwe W (2024) A novel framework for enhancing transparency in credit scoring: Leveraging Shapley values for interpretable credit scorecards. PLoS ONE 19(8): e0308718. https://doi.org/10.1371/journal.pone.0308718 The name Kutlwano Ramabao appears incorrectly throughout the article. The correct name is Kutlwano Ramaboa. Reference 1. Hlongwane R, Ramabao K, Mongwe W.
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Bayesian Machine Learning in Quantitative Finance

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By Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala
| link.springer.com
Skip to main content Theory and Practical Applications Book 2025 Overview Demonstrates the various uses of advanced Bayesian methods within quantitative finance Chapters include real-life examples of Bayesian models used in areas such as banking, insurance and investment analysis Demonstrates modelling results using open-source software This is a preview of subscription content, log in via an institution to check access.
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Enhancing credit scoring accuracy with a comprehensive evaluation of alternative data

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By Cape Town, Wilson Tsakane Mongwe, Rivalani Hlongwane
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: Hlongwane R, Ramaboa KKKM, Mongwe W (2024) Enhancing credit scoring accuracy with a comprehensive evaluation of alternative data. PLoS ONE 19(5): e0303566. https://doi.org/10.1371/journal.pone.0303566 Editor: Pradeep Mishra, JNKVV: Jawaharlal Nehru Krishi Vishwa Vidyalaya, INDIA Received: March 11, 2024; Accepted: April 27, 2024; Published: May 21, 2024 Copyright: © 2024 Hlongwane et al.
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