Preprint

1. S. Pagani, A. Manzoni and K. Carlberg. Statistical closure modeling for reduced-order models of stationary systems by the ROMES method, arXiv:1901.02792, 2019.

Journal

1. S. Pagani, A. Manzoni and A. Quarteroni. Numerical approximation of parametrized problems in cardiac electrophysiology by a local reduced basis method. CMAME, 340, 530-558, 2018.
2. S. Pagani, A. Manzoni and A. Quarteroni. Efficient State/Parameter Estimation in Nonlinear Unsteady PDEs by a Reduced Basis Ensemble Kalman Filter. SIAM/ASA Journal on Uncertainty Quantification 5 (1), 890-921, 2017.
3. A. Manzoni, S. Pagani and T. Lassila. Accurate Solution of Bayesian Inverse Uncertainty Quantification Problems Combining Reduced Basis Methods and Reduction Error Models. SIAM/ASA Journal on Uncertainty Quantification 4 (1), 380-412, 2016.

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