A Review of Some Monte Carlo Simulation Methods for Turbulent Systems. - Peter R. Kramer (Monte Carlo Methods Appl., 2001)

Subdiffusion and Superdiffusion in Lagrangian Stochastic Models of Oceanic Transport. - Emilio Castronovo; Peter R. Kramer (Monte Carlo Methods Appl., 2004)

Stochastic Mode Reduction for the Immersed Boundary Method. - Andrew J. Majda; Peter R. Kramer (SIAM J. Appl. Math., 2004)

Stochastic Mode Reduction for Particle-Based Simulation Methods for Complex Microfluid Systems. - Andrew J. Majda; Peter R. Kramer (SIAM J. Appl. Math., 2004)

A stochastic immersed boundary method for fluid-structure dynamics at microscopic length scales. - Paul J. Atzberger; Peter R. Kramer; Charles S. Peskin (J. Comput. Phys., 2007)

Comparative analysis of multiscale Gaussian random field simulation algorithms. - Peter R. Kramer; Orazgeldy Kurbanmuradov; Karl Sabelfeld (J. Comput. Phys., 2007)

Error analysis of a stochastic immersed boundary method incorporating thermal fluctuations. - Paul J. Atzberger; Peter R. Kramer (Math. Comput. Simul., 2008)

Randomized Spectral and Fourier-Wavelet Methods for multidimensional Gaussian random vector fields. - Orazgeldy Kurbanmuradov; Karl Sabelfeld; Peter R. Kramer (J. Comput. Phys., 2013)

Numerical methods for computing effective transport properties of flashing Brownian motors. - Juan C. Latorre; Peter R. Kramer; Grigorios A. Pavliotis (J. Comput. Phys., 2014)

Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference. - Elizabeth Qian; Jemima M. Tabeart; Christopher Beattie; Serkan Gugercin; Jiahua Jiang; Peter R. Kramer; Akil Narayan 001 (J. Sci. Comput., 2022)