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math.DS2026
Probabilistic function-on-function nonlinear autoregressive model for emulation and reliability analysis of stochastic dynamical systems
Zhouzhou Song, Marcos A. Valdebenito, Styfen Schär +3
Constructing accurate and computationally efficient surrogate models (or emulators) for predicting dynamical system responses is critical in many engineering domains, yet remains c…
stat.ME2026
Conformal prediction for full and sparse polynomial chaos expansions
A. Hatstatt, X. Zhu, B. Sudret
Polynomial Chaos Expansions (PCEs) are widely recognized for their efficient computational performance in surrogate modeling. Yet, a robust framework to quantify local model errors…