Isotonic surrogate modeling for computer experiments with many input variables
stat.ME, math.ST, stat.CO, stat.ML, stat.TH
Submitted: 2026-09-28
Updated: 2026-09-28
Comments: 56 pages, 6 figures
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- BdryGP: a new Gaussian process model for incorporating boundary information
- Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design
- Adaptive Resolution for Finite-Rank Gaussian Processes
- Constrained Gaussian Random Fields with Continuous Linear Boundary Restrictions for Physics-informed Modeling of States
- Expected Diverse Utility (EDU): Diverse Bayesian Optimization of Expensive Computer Simulators
- MCMC Methods for Parameter Inference in Structurally Nonidentifiable Models
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