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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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