The Limits of Analytics During Black Swan Events A Case Study of the Covid-19 Global Pandemic
During statistically unlikely events (Black Swan events) analytical models fail to provide their expected level of fidelity: their error can increase by several hundred percent. The modern economy is built on such analytical models, which are intended to provide useful results during routine conditi...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/139124 |