Peter R. Kramer

Publication Activity (10 Years)

Years Active: 2001-2022
Publications (10 Years): 2

Top Topics

Bayesian Inference

Top Venues

J. Comput. Phys.

J. Sci. Comput.

Publications

Elizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer, Akil Narayan
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference. J. Sci. Comput. 91 (1) (2022)
Elizabeth Qian, Jemima M. Tabeart, Christopher Beattie, Serkan Gugercin, Jiahua Jiang, Peter R. Kramer, Akil Narayan
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference. CoRR (2021)
Juan C. Latorre, Peter R. Kramer, Grigorios A. Pavliotis
Numerical methods for computing effective transport properties of flashing Brownian motors. J. Comput. Phys. 257 (2014)
Orazgeldy Kurbanmuradov, Karl Sabelfeld, Peter R. Kramer
Randomized Spectral and Fourier-Wavelet Methods for multidimensional Gaussian random vector fields. J. Comput. Phys. 245 (2013)
Paul J. Atzberger, Peter R. Kramer
Error analysis of a stochastic immersed boundary method incorporating thermal fluctuations. Math. Comput. Simul. 79 (3) (2008)
Peter R. Kramer, Orazgeldy Kurbanmuradov, Karl Sabelfeld
Comparative analysis of multiscale Gaussian random field simulation algorithms. J. Comput. Phys. 226 (1) (2007)
Paul J. Atzberger, Peter R. Kramer, Charles S. Peskin
A stochastic immersed boundary method for fluid-structure dynamics at microscopic length scales. J. Comput. Phys. 224 (2) (2007)
Andrew J. Majda, Peter R. Kramer
Stochastic Mode Reduction for the Immersed Boundary Method. SIAM J. Appl. Math. 64 (2) (2004)
Andrew J. Majda, Peter R. Kramer
Stochastic Mode Reduction for Particle-Based Simulation Methods for Complex Microfluid Systems. SIAM J. Appl. Math. 64 (2) (2004)
Emilio Castronovo, Peter R. Kramer
Subdiffusion and Superdiffusion in Lagrangian Stochastic Models of Oceanic Transport. Monte Carlo Methods Appl. 10 (3-4) (2004)
Peter R. Kramer
A Review of Some Monte Carlo Simulation Methods for Turbulent Systems. Monte Carlo Methods Appl. 7 (3-4) (2001)