| 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 |
| 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 | 14 | 2022 |
| Parameter elimination in particle Gibbs sampling A Wigren, RS Risuleo, L Murray, F Lindsten Advances in Neural Information Processing Systems, 8918-8929, 2019 | 14 | 2019 |
| A Study on Condition-Based Maintenance with Applications to Industrial Vehicles A Wigren | 2 | 2017 |
| Marginalized particle Gibbs for multiple state-space models coupled through shared parameters A Wigren, F Lindsten arXiv preprint arXiv:2210.07379, 2022 | 1 | 2022 |
| Exploiting conjugacy in state-space models with sequential Monte Carlo A Wigren Uppsala University, 2020 | 1 | 2020 |
| Sequential Monte Carlo methods for conjugate state-space models A Wigren Acta Universitatis Upsaliensis, 2022 | | 2022 |
