Forward sensitivity analysis via Gaussian process emulators identifies observation regions that serve as strong proxies for accurate Bayesian parameter calibration and reduced posterior uncertainty in Earth system models.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Using common random numbers in rollout simulations provably reduces variance in relative utility estimates when a rollout policy is invoked beyond some depth.
citing papers explorer
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Connecting the forward problem to the inverse problem in uncertainty quantification of Earth system models using fast emulators
Forward sensitivity analysis via Gaussian process emulators identifies observation regions that serve as strong proxies for accurate Bayesian parameter calibration and reduced posterior uncertainty in Earth system models.
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Using Common Random Numbers for Simulation-based Planning with Rollouts
Using common random numbers in rollout simulations provably reduces variance in relative utility estimates when a rollout policy is invoked beyond some depth.