77 citations
- Statistical ServiceCY25 papers
- University College LondonGB15 papers
- Royal Statistical SocietyGB13 papers
- Duke UniversityUS8 papers
- Cornell UniversityUS5 papers
- Statistical and Applied Mathematical Sciences InstituteUS5 papers
- United States Census BureauUS5 papers
- University of CambridgeGB5 papers
- University of TorontoCA5 papers
- Iowa State UniversityUS3 papers
- National University of SingaporeSG3 papers
- Virginia Commonwealth UniversityUS3 papers
76 papers
Explainable Machine Learning in Healthcare: Methods, Interpretation, and Applications for Clinical Research
Krishna Padmanabhan, Minxin Lu, Dai Feng +4
We present a structured review of commonly used Explainable machine learning (XML) methodologies, including global and local interpretability tools such as SHapley Additive exPlana…
A Geometric Theory of Cosmological Structure via Entropic Curvature in Wasserstein Space
Tsutomu T. Takeuchi
We construct a geometric framework for cosmological large-scale structure based on optimal transport theory and Wasserstein geometry. In this framework, Ricci curvature on the prob…
Order-Induced Variance in the Moving-Range Sigma Estimator: A Total-Variance Decomposition
Andrew T. Karl
I--MR charts commonly estimate the process standard deviation via the span-2 average moving range divided by the unbiasing constant ; unlike the unbiased sample standard d…
Degrees-of-Freedom Approximations for Conditional-Mean Inference in Random-Lot Stability Analysis
Andrew T. Karl, Heath Rushing, Richard K. Burdick +1
Linear mixed models are widely used for pharmaceutical stability trending when sufficient lots are available. Expiry support is often based on whether lot-specific conditional-mean…
SVEMnet: An R package for Self-Validated Elastic-Net Ensembles and Multi-Response Optimization in Small-Sample Mixture-Process Experiments
Andrew T. Karl
SVEMnet is an R package for fitting Self-Validated Ensemble Models (SVEM) with elastic-net base learners and performing multi-response optimization in small-sample mixture-process…
Local Polynomial Lp-norm Regression
Ladan Tazik, James Stafford, John Braun
The local least squares estimator for a regression curve cannot provide optimal results when non-Gaussian noise is present. Both theoretical and empirical evidence suggests that re…