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Anna Wigren
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Nonlinear System Identification: Learning While Respecting Physical Models Using a Sequential Monte Carlo Method
A Wigren, J Wågberg, F Lindsten, AG Wills, TB Schön
IEEE Control Systems Magazine 42 (1), 75-102, 2022
202022
Parameter elimination in particle Gibbs sampling
A Wigren, RS Risuleo, L Murray, F Lindsten
Advances in Neural Information Processing Systems, 8918-8929, 2019
182019
Improving the particle filter in high dimensions using conjugate artificial process noise
A Wigren, L Murray, F Lindsten
IFAC-PapersOnLine 51 (15), 670-675, 2018
15*2018
Marginalized particle Gibbs for multiple state-space models coupled through shared parameters
A Wigren, F Lindsten
arXiv preprint arXiv:2210.07379, 2022
12022
Exploiting conjugacy in state-space models with sequential Monte Carlo
A Wigren
Uppsala University, 2020
12020
A Study on Condition-Based Maintenance with Applications to Industrial Vehicles
A Wigren
12017
Sequential Monte Carlo methods for conjugate state-space models
A Wigren
Acta Universitatis Upsaliensis, 2022
2022
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