Kasper Bågmark

Doctoral Student at Applied Mathematics and Statistics

I am doing a PhD project within the program Wallenberg AI, Autonomous systems and Software program (WASP). The project aims to investigate the use of deep neural networks for the optimal filtering problem both numerically and theoretically. My mathematical research areas are within Bayesian statistics, stochastic analysis, partial differential equations and numerical analysis.

Source: chalmers.se

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Publications (1)
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Showing 1 publications

2023

An energy-based deep splitting method for the nonlinear filtering problem

Kasper Bågmark, Adam Andersson, Stig Larsson

Partial Differential Equations and Applications. Vol. 4 (2)

Journal article

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