2 papers
stat.ME2026
Hierarchical Clustering As a Novel Solution to the Notorious Multicollinearity Problem in Observational Causal Inference
Yufei Wu, Zhiying Gu, Alex Deng +2
Multicollinearity is a long lasting challenge in observational causal inference, especially in regressions -- highly correlated independent variables make it hard to isolate their…
stat.ML2026
An efficient, accurate, and interpretable machine learning method for computing probability of failure
Jacob Zhu, Donald Estep
We introduce a novel machine learning method called the Penalized Profile Support Vector Machine based on the Gabriel edited set for the computation of the probability of failure f…