118 citations · 528 across the 31 of their papers we have counts for
33 papers
Bayesian Monitoring of COVID-19 in Sweden
Robin Marin, Håkan Runvik, Alexander Medvedev +1
In an effort to provide regional decision support for the public healthcare, we design a data-driven compartment-based model of COVID-19 in Sweden. From national hospital statistic…
Bayesian inference in Epidemics: linear noise analysis
Samuel Bronstein, Stefan Engblom, Robin Marin
This paper offers a qualitative insight into the convergence of Bayesian parameter inference in a setup which mimics the modeling of the spread of a disease with associated disease…
Robust and integrative Bayesian neural networks for likelihood-free parameter inference
Fredrik Wrede, Robin Eriksson, Richard Jiang +4
State-of-the-art neural network-based methods for learning summary statistics have delivered promising results for simulation-based likelihood-free parameter inference. Existing ap…
Initialization of a Disease Transmission Model
Håkan Runvik, Alexander Medvedev, Robin Eriksson +1
Approaches to the calculation of the full state vector of a larger epidemiological model for the spread of COVID-19 in Sweden at the initial time instant from available data and wi…
Distributed and Adaptive Fast Multipole Method In Three Dimensions
Jonathan Bull, Stefan Engblom
We develop a general distributed implementation of an adaptive fast multipole method in three space dimensions. We rely on a balanced type of adaptive space discretisation which su…
Flash X-ray diffraction imaging in 3D: a proposed analysis pipeline
Jing Liu, Stefan Engblom, Carl Nettelblad
Modern Flash X-ray diffraction Imaging (FXI) acquires diffraction signals from single biomolecules at a high repetition rate from X-ray Free Electron Lasers (XFELs), easily obtaini…