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stat.ME2026
Isotonic surrogate modeling for computer experiments with many input variables
Jaehoan Kim, Simon Mak
Virtual simulators are widely used for studying complex physical phenomena, from particle collisions to rocket propulsion. Such "computer experiments" can be highly time-intensive,…
stat.ME2026
Marginal likelihoods for finite-support Huber contamination
Jaehoan Kim
For Huber contamination on a known finite sample space, the unrestricted contaminating law is a probability vector on the support atoms, and domination over all measurable subsets…
stat.ME2022
High dimensional discriminant rules with shrinkage estimators of the covariance matrix and mean vector
Jaehoan Kim, Hoyoung Park, Junyong Park
Linear discriminant analysis (LDA) is a typical method for classification problems with large dimensions and small samples. There are various types of LDA methods that are based on…