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SIAM/ASA Journal on Uncertainty Quantification, Volume 14

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Volume 14, Number 1, 2026

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Shangkun Wang, V. Roshan Joseph:
Active Learning via Heteroskedastic Rational Kriging. 1-18
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Shijie Zhong, Wanggang Shen, Tommie Catanach, Xun Huan:
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models Using Markov Chain Monte Carlo. 19-47
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Ying Wu, Shifeng Xiong, Peter Chien:
Random Fourier Features Based Gaussian Process Models for Stochastic Simulations. 48-76
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Fernando Henríquez, Ignacio Labarca-Figueroa:
Domain Uncertainty Quantification for the Lippmann-Schwinger Volume Integral Equation. 77-110

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