Published October 14, 2022
| Version v1
Software
Open
Randomized geometric tools for anomaly detection in stock markets
- 1. Faculty of Business and Economics, Dept of Operations Univ of Lausanne, Switzerland
- 2. Quantagonia, and GeomScale Org
- 3. Department of Informatics & Telecommunications National & Kapodistrian University of Athens, and GeomScale Org
- 4. Inria Paris and IMJ-PRG Sorbonne Universite
Description
This is an R package based on volesti library that serves as supplementary code to paper "Randomized geometric tools for anomaly detection in stock markets".
Files
Files
(5.4 MB)
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md5:ea375a7eb3833fbd245bc806166adec6
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