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Conditional Gaussian Nonlinear System: a Fast Preconditioner and a Cheap Surrogate Model For Complex Nonlinear Systems., , and . CoRR, (2021)Verifiability of the Data-Driven Variational Multiscale Reduced Order Model., , , , , and . J. Sci. Comput., 93 (2): 54 (2022)Post-processing finite-horizon parameterizing manifolds for optimal control of nonlinear parabolic PDEs., and . CDC, page 1411-1416. IEEE, (2016)PRESS model selection in repeated measures data, , , and . Computational Statistics & Data Analysis, 30 (2): 169--184 (Apr 28, 1999)Least-Squares Finite Element Method for Ordinary Differential Equations., , and . CoRR, (2021)Reduced Order Model Closures: A Brief Tutorial., , , , , and . CoRR, (2022)Data-Driven Correction Reduced Order Models for the Quasi-Geostrophic Equations: A Numerical Investigation., , , and . CoRR, (2019)Shock trace prediction by reduced models for a viscous stochastic Burgers equation., , and . CoRR, (2021)Sample Size Calculation and Power Analysis of Changes in Mean Response Over Time., and . Communications in Statistics - Simulation and Computation, 37 (9): 1785-1798 (2008)On the Design and Evaluation of an Optimal Security-and-Time Cognizant Data Placement for Dynamic Fog Environments., , , and . IEEE Trans. Parallel Distributed Syst., 34 (2): 489-500 (February 2023)