Model reduction

[1] Cui, T., Marzouk, Y. M., & Willcox, K. E. (2015). Data-driven model reduction for the Bayesian solution of inverse problems. International Journal for Numerical Methods in Engineering, 102(5), 966–990. https://doi.org/10.1002/nme.4748

[2] Cui, T., Marzouk, Y. M., & Willcox, K. E. (2016). Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction. Journal of Computational Physics, 315, 363–387. https://doi.org/10.1016/j.jcp.2016.03.055

[3] Peherstorfer, B., Cui, T., Marzouk, Y., & Willcox, K. (2016). Multifidelity importance sampling. Computer Methods in Applied Mechanics and Engineering, 300, 490–509. https://doi.org/10.1016/j.cma.2015.12.002