Lessons Learned: Reproducibility, Replicability, and When to Stop

no code implementations • 8 Jan 2024 • Milton S. Gomez, Tom Beucler

While extensive guidance exists for ensuring the reproducibility of one's own study, there is little discussion regarding the reproduction and replication of external studies within one's own research.

Selecting Robust Features for Machine Learning Applications using Multidata Causal Discovery

1 code implementation • 11 Apr 2023 • Saranya Ganesh S., Tom Beucler, Frederick Iat-Hin Tam, Milton S. Gomez, Jakob Runge, Andreas Gerhardus

We apply our framework to the statistical intensity prediction of Western Pacific Tropical Cyclones (TC), for which it is often difficult to accurately choose drivers and their dimensionality reduction (time lags, vertical levels, and area-averaging).

Causal Discovery Dimensionality Reduction +3