2 papers
math.NA2025
Filtering with Randomised Observations: Sequential Learning of Relevant Subspace Properties and Accuracy Analysis
Nazanin Abedini, Jana de Wiljes, Svetlana Dubinkina
State estimation that combines observational data with mathematical models is central to many applications and is commonly addressed through filtering methods, such as ensemble Kal…
math.DS2023
Convergence properties of a Gauss-Newton data-assimilation method
Nazanin Abedini, Svetlana Dubinkina
Four-dimensional weak-constraint variational data assimilation estimates a state given partial noisy observations and dynamical model by minimizing a cost function that takes into…