Peter Jan van Leeuwen

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 16

Top Topics

Sequential Monte Carlo

Data Assimilation

Particle Filter

Top Venues

Frontiers Appl. Math. Stat.

SIAM/ASA J. Uncertain. Quantification

Publications

Peter Jan van Leeuwen, J. Christine Chiu, C. Kevin Yang
Uncertainty Quantification for Deep Learning. CoRR (2024)
Oana Lang, Peter Jan van Leeuwen, Dan Crisan, Roland Potthast
Bayesian inference for fluid dynamics: A case study for the stochastic rotating shallow water model. Frontiers Appl. Math. Stat. 8 (2022)
María Magdalena Lucini, Peter Jan van Leeuwen, Manuel Pulido
Model Error Estimation Using the Expectation Maximization Algorithm and a Particle Flow Filter. SIAM/ASA J. Uncertain. Quantification 9 (2) (2021)
Peter Jan van Leeuwen, Dan Crisan, Oana Lang, Roland Potthast
Bayesian Inference for Fluid Dynamics: A Case Study for the Stochastic Rotating Shallow Water Model. CoRR (2021)
Ieva Dauzickaite, Amos S. Lawless, Jennifer A. Scott, Peter Jan van Leeuwen
Randomised preconditioning for the forcing formulation of weak constraint 4D-Var. CoRR (2021)
Ieva Dauzickaite, Amos S. Lawless, Jennifer A. Scott, Peter Jan van Leeuwen
On preconditioning the state formulation of incremental weak constraint 4D-Var. CoRR (2021)
Peter Jan van Leeuwen, Michael DeCaria, Nachiketa Chakaborty, Manuel Pulido
A new Framework for Causal Discovery. CoRR (2020)
Håvard Heitlo Holm, Martin Lilleeng Sætra, Peter Jan van Leeuwen
Massively parallel implicit equal-weights particle filter for ocean drift trajectory forecasting. J. Comput. Phys. X 6 (2020)
Ieva Dauzickaite, Amos S. Lawless, Jennifer A. Scott, Peter Jan van Leeuwen
Spectral estimates for saddle point matrices arising in weak constraint four-dimensional variational data assimilation. Numer. Linear Algebra Appl. 27 (5) (2020)
Peter Jan van Leeuwen
Non-local Observations and Information Transfer in Data Assimilation. Frontiers Appl. Math. Stat. 5 (2019)
Manuel Pulido, Peter Jan van Leeuwen, Derek J. Posselt
Kernel Embedded Nonlinear Observational Mappings in the Variational Mapping Particle Filter. ICCS (4) (2019)
Tristan van Leeuwen, Peter Jan van Leeuwen, Sergiy Zhuk
Data-Driven Modeling for Wave-Propagation. ENUMATH (2019)
Ieva Dauzickaite, Amos S. Lawless, Jennifer A. Scott, Peter Jan van Leeuwen
Spectral estimates for saddle point matrices arising in weak constraint four-dimensional variational data assimilation. CoRR (2019)
Manuel Pulido, Peter Jan van Leeuwen, Derek J. Posselt
Kernel embedded nonlinear observational mappings in the variational mapping particle filter. CoRR (2019)
Manuel Pulido, Peter Jan van Leeuwen
Sequential Monte Carlo with kernel embedded mappings: The mapping particle filter. J. Comput. Phys. 396 (2019)
Manuel Pulido, Peter Jan van Leeuwen
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filter. CoRR (2018)
Peter Jan van Leeuwen
Aspects of Particle Filtering in High-Dimensional Spaces. DyDESS (2014)
Peter Jan van Leeuwen, Melanie Ades
Efficient fully nonlinear data assimilation for geophysical fluid dynamics. Comput. Geosci. 55 (2013)
Fons van Hees, Aad J. van der Steen, Peter Jan van Leeuwen
A parallel data assimilation model for oceanographic observations. Concurr. Comput. Pract. Exp. 15 (13) (2003)