| WHITTLE-MATÉRN PRIORS FOR BAYESIAN STATISTICAL INVERSION WITH APPLICATIONS IN ELECTRICAL IMPEDANCE TOMOGRAPHY. L Roininen, JMJ Huttunen, S Lasanen Inverse Problems & Imaging 8 (2), 2014 | 131 | 2014 |
| Hyperpriors for Mat\'ern fields with applications in Bayesian inversion L Roininen, M Girolami, S Lasanen, M Markkanen arXiv preprint arXiv:1612.02989, 2016 | 60 | 2016 |
| Non-Gaussian statistical inverse problems. Part I: Posterior distributions S Lasanen Inverse Problems & Imaging 6 (2), 215, 2012 | 54 | 2012 |
| Discretizations of generalized random variables with applications to inverse problems S Lasanen | 47 | 2002 |
| NON-GAUSSIAN STATISTICAL INVERSE PROBLEMS. PART II: POSTERIOR CONVERGENCE FOR APPROXIMATED UNKNOWNS. S Lasanen Inverse Problems & Imaging 6 (2), 2012 | 44 | 2012 |
| Cauchy difference priors for edge-preserving Bayesian inversion M Markkanen, L Roininen, JMJ Huttunen, S Lasanen Journal of Inverse and Ill-posed Problems 27 (2), 225-240, 2019 | 33* | 2019 |
| Correlation priors L Roininen, MS Lehtinen, S Lasanen, M Orispää, M Markkanen Inverse problems and imaging 5 (1), 167-184, 2011 | 30 | 2011 |
| Measurements and infinite‐dimensional statistical inverse theory S Lasanen PAMM: Proceedings in Applied Mathematics and Mechanics 7 (1), 1080101-1080102, 2007 | 16 | 2007 |
| Statistical inversion with Green’s priors S Lasanen, L Roininen Proceedings of the 5th International Conference on Inverse Problems in …, 2005 | 13 | 2005 |
| Non-stationary multi-layered Gaussian priors for Bayesian inversion M Emzir, S Lasanen, Z Purisha, L Roininen, S Särkkä Inverse Problems 37 (1), 015002, 2020 | 9 | 2020 |
| Sparse approximations of fractional Matérn fields L Roininen, S Lasanen, M Orispää, S Särkkä Scandinavian Journal of Statistics 45 (1), 194-216, 2018 | 9 | 2018 |
| Discretization independent retrieval of atmospheric ozone profile B D’Ambrogi, S Mäenpää, M Markkanen Geophysica 35 (1-2), 87-99, 1999 | 8 | 1999 |
| Posterior Convergence Analysis of -Stable Sheets NK Chada, S Lasanen, L Roininen arXiv preprint arXiv:1907.03086, 2019 | 7 | 2019 |
| Enhancing industrial X-ray tomography by data-centric statistical methods J Suuronen, M Emzir, S Lasanen, S Särkkä, L Roininen Data-Centric Engineering 1, e10, 2020 | 6 | 2020 |
| Elliptic boundary value problems with Gaussian white noise loads S Lasanen, L Roininen, JMJ Huttunen Stochastic Processes and their Applications 128 (11), 3607-3627, 2018 | 6 | 2018 |
| Bayesian filtering in incoherent scatter plasma parameter fits II Virtanen, HW Tesfaw, L Roininen, S Lasanen, A Aikio Journal of Geophysical Research: Space Physics 126 (3), e2020JA028700, 2021 | 5 | 2021 |
| Hilbert-space reduced-rank methods for deep Gaussian processes MF Emzir, S Lasanen, Z Purisha, S Särkkä 2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019 | 5 | 2019 |
| Posterior convergence for approximated unknowns in non-gaussian statistical inverse problems S Lasanen arXiv preprint arXiv:1112.0906, 2011 | 5 | 2011 |
| Bayesian filtering for incoherent scatter radar analysis H Tesfaw, I Virtanen, A Aikio, L Roininen, S Lasanen EGU General Assembly Conference Abstracts, 13374, 2020 | | 2020 |
| Spatial distribution of the polar thermospheric wind acceleration and importance of the 2D measurement with SDIs SI Oyama, AT Aikio, M Conde, H Vanhamaki, II Virtanen AGU Fall Meeting Abstracts 2019, SA43C-3222, 2019 | | 2019 |
Lassi RoininenLUTVerified email at lut.fi
