2 papers
stat.ME2026
Active Learning for Data-Efficient Calibration of Stochastic Simulation Models
Ãzge Sürer
Simulation-based calibration aims to infer unknown parameters of complex simulation models by aligning model outputs with real-world observations. When simulation runs are computat…
stat.ME2025
Batch Sequential Experimental Design for Calibration of Stochastic Simulation Models
Ãzge Sürer
Calibration of expensive simulation models involves an emulator based on simulation outputs generated across various parameter settings to replace the actual model. Noisy outputs o…