| Robust parameter estimation of chaotic systems S Springer, H Haario, V Shemyakin, L Kalachev, D Shchepakin Inverse Problems & Imaging 13 (6), 1189, 2019 | 9 | 2019 |
| Efficient Bayesian inference for large chaotic dynamical systems S Springer, H Haario, J Susiluoto, A Bibov, A Davis, Y Marzouk Geoscientific Model Development 14 (7), 4319-4333, 2021 | 6 | 2021 |
| Parameter estimation of stochastic chaotic systems R Maraia, S Springer, H Haario, J Hakkarainen, E Saksman International Journal for Uncertainty Quantification 11 (2), 2021 | 3 | 2021 |
| Data based quantification of synchronization D Shah, S Springer, H Haario, B Barbiellini, L Kalachev Foundations of Data Science 5 (1), 152-176, 2023 | 2 | 2023 |
| Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs S Springer, A Glielmo, A Senchukova, T Kauppi, J Suuronen, L Roininen, ... arXiv preprint arXiv:2206.09595, 2022 | 1 | 2022 |
| Hierarchical Bayesian propulsion power models for marine vessels A Solonen, R Maraia, S Springer, H Haario, M Laine, O Räty, JP Jalkanen, ... arXiv preprint arXiv:2004.11267, 2020 | 1 | 2020 |
| Correlation Integral Likelihood for Stochastic Differential Equations H Haario, J Hakkarainen, R Maraia, S Springer 2017 Matrix Annals, 25-36, 2019 | 1 | 2019 |
| Hierarchical Bayesian propulsion power models—A simplified example with cruise ships A Solonen, R Maraia, S Springer, H Haario, M Laine, O Räty, JP Jalkanen, ... Ocean Engineering 285, 115226, 2023 | | 2023 |
| Agnostic detection of large-scale weather patterns in the northern hemisphere: from blockings to teleconnections S Springer, VM Galfi, A Laio, V Lucarini arXiv preprint arXiv:2309.06833, 2023 | | 2023 |
| Bayesian synthetic likelihood for stochastic models with applications in mathematical finance R Maraia, S Springer, T Härkönen, M Simon, H Haario Frontiers in Applied Mathematics and Statistics 9, 1187878, 2023 | | 2023 |
| Bayesian inference by informative Gaussian features of the data S Springer Lappeenranta-Lahti University of Technology LUT, 2021 | | 2021 |
| Efficient Bayesian inference for large chaotic dynamical systems S Springer, H Haario, J Susiluoto, A Bibov, A Davis, Y Marzouk Geoscientific Model Development Discussions 2020, 1-32, 2020 | | 2020 |
| PARAMETER ESTIMATION FOR CHAOTIC OR STOCHASTIC DY-NAMICS S Springer UNIVERSITÁ DEGLI STUDI DI MILANO, 0 | | |
