| EPSRC Reference: |
EP/R00370X/1 |
| Title: |
Optimization models for interpretable analytics. |
| Principal Investigator: |
Martin-Barragan, Dr B |
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| Department: |
Business School |
| Organisation: |
University of Edinburgh |
| Scheme: |
First Grant - Revised 2009 |
| Starts: |
14 April 2019 |
Ends: |
13 April 2021 |
Value (£): |
100,577
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| EPSRC Research Topic Classifications: |
| Mathematical Aspects of OR |
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Summary on Grant Application Form |
Companies are still far from capturing the whole potential of data analytics. According to a McKinsey & Company report launched on December 2016, the biggest barrier is the struggle to incorporate data-driven insights into day-to-day processes. This project aims to tackle this issue by developing new methodologies to estimate models that are easier to interpret than the current state-of-the-art methods.
Since the bankruptcy of Lehman Brothers almost one decade ago, the banking sector is facing a rise in regulatory requirements. Society is losing confidence in the sector due to a myriad of scandals and is becoming suspicious of the intensive use of methodologies that are seen as magician tricks by the general public. Even practicing statisticians at banks have more confidence in interpretable models and methods than in the new technologies even though they are often more accurate. Finally, when a loan is rejected, the applicant has the right for an explanation. Given the special importance of interpretability in the banking sector, our project will pay special attention to three clear applications: LGD, time to default and probability of default.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.ed.ac.uk |