2 papers
stat.ML2025
Signature Maximum Mean Discrepancy Two-Sample Statistical Tests
Andrew Alden, Blanka Horvath, Zacharia Issa
Maximum Mean Discrepancy (MMD) is a widely used concept in machine learning research which has gained popularity in recent years as a highly effective tool for comparing (finite-di…
q-fin.CP2021
Clustering Market Regimes using the Wasserstein Distance
Blanka Horvath, Zacharia Issa, Aitor Muguruza
The problem of rapid and automated detection of distinct market regimes is a topic of great interest to financial mathematicians and practitioners alike. In this paper, we outline…