1 citations · 2 across the 10 of their papers we have counts for
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Root Finding and Metamodeling for Rapid and Robust Computer Model Calibration
Yongseok Jeon, Sara Shashaani
We concern computer model calibration problem where the goal is to find the parameters that minimize the discrepancy between the multivariate real-world and computer model outputs.…
Building Trees for Probabilistic Prediction via Scoring Rules
Sara Shashaani, Ozge Surer, Matthew Plumlee +1
Decision trees built with data remain in widespread use for nonparametric prediction. Predicting probability distributions is preferred over point predictions when uncertainty play…
Simulation Model Calibration with Dynamic Stratification and Adaptive Sampling
Pranav Jain, Sara Shashaani, Eunshin Byon
Calibrating simulation models that take large quantities of multi-dimensional data as input is a hard simulation optimization problem. Existing adaptive sampling strategies offer a…
Uncertainty Quantification using Simulation Output: Batching as an Inferential Device
Yongseok Jeon, Yi Chu, Raghu Pasupathy +1
We present batching as an omnibus device for uncertainty quantification using simulation output. We consider the classical context of a simulationist performing uncertainty quantif…