no code implementations • 26 Dec 2022 • Andrii Babii, Eric Ghysels, Junsu Pan
A tensor factor model describes a high-dimensional dataset as a sum of a low-rank component and an idiosyncratic noise, generalizing traditional factor models for panel data.