2 papers
stat.ME2026
Enhancing Statistical-Computational Balance in Uncertainty Quantification of Bagging: A Cheap Bootstrap Approach
Arindam RoyChowdhury, Henry Lam
Bagging, which refers to the repeated subsampling of data and averaging the resulting outputs, is a common approach to reduce sampling variability of unstable learning and data-dri…
stat.ME2026
Quantification and Decomposition of Uncertainty Using Sliced-Normal Distribution: With Applications to NASA Data
Arindam RoyChowdhury, Luis G. Crespo, Henry Lam
Modeling multivariate distributions with nonlinear dependence, multimodality, and tractable analytical structure for downstream applications is a central challenge in uncertainty q…