Asymptotic Analysis for Randomly Forced MHD. - Juraj Földes; Susan Friedlander; Nathan E. Glatt-Holtz; Geordie Richards (SIAM J. Math. Anal., 2017)

GPU-accelerated particle methods for evaluation of sparse observations for inverse problems constrained by diffusion PDEs. - Jeff Borggaard; Nathan E. Glatt-Holtz; Justin Krometis (J. Comput. Phys., 2019)

On the accept-reject mechanism for Metropolis-Hastings algorithms. - Nathan E. Glatt-Holtz; Justin A. Krometis; Cecilia F. Mondaini (CoRR, 2020)

A Bayesian Approach to Estimating Background Flows from a Passive Scalar. - Jeff Borggaard; Nathan E. Glatt-Holtz; Justin Krometis (SIAM/ASA J. Uncertain. Quantification, 2020)

Data Assimilation in Large Prandtl Rayleigh-Bénard Convection from Thermal Measurements. - Aseel Farhat; Nathan E. Glatt-Holtz; Vincent R. Martinez; Shane A. McQuarrie; Jared P. Whitehead (SIAM J. Appl. Dyn. Syst., 2020)

Long-term accuracy of numerical approximations of SPDEs with the stochastic Navier-Stokes equations as a paradigm. - Nathan E. Glatt-Holtz; Cecilia F. Mondaini (CoRR, 2023)