Papers accepted at Statistics and Computing

A paper has been accepted at the Statistics and Computing journal.

In particular, we bring forward a random forest kernel approach for high-dimensional low sample data classification.

PORTES, LUCCA PORTES; BERNARD, SIMON; BARDDAL, JEAN PAUL; HEUTTE, LAURENT. Random Forest Kernel for High-Dimension Low Sample Size Classification. In: Statistics and Computing. 2023.