Erkki Somersalo

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 18

Top Topics

Computational Issues

Hierarchical Bayesian Models

Discriminant Analysis

Top Venues

SIAM J. Sci. Comput.

SIAM/ASA J. Uncertain. Quantification

Multiscale Model. Simul.

Publications

Monica Pragliola, Daniela Calvetti, Erkki Somersalo
An efficient hierarchical Bayesian method for the Kuopio tomography challenge 2023. CoRR (2024)
Daniela Calvetti, Monica Pragliola, Erkki Somersalo
Sparsity-promoting hierarchical Bayesian model for EIT with a blocky target. CoRR (2024)
Daniela Calvetti, Erkki Somersalo
Computationally Efficient Sampling Methods for Sparsity Promoting Hierarchical Bayesian Models. SIAM/ASA J. Uncertain. Quantification 12 (2) (2024)
Daniela Calvetti, Erkki Somersalo
Distributed Tikhonov regularization for ill-posed inverse problems from a Bayesian perspective. CoRR (2024)
Alberto Bocchinfuso, Daniela Calvetti, Erkki Somersalo
Bayesian sparsity and class sparsity priors for dictionary learning and coding. CoRR (2023)
Daniela Calvetti, Erkki Somersalo
Computationally efficient sampling methods for sparsity promoting hierarchical Bayesian models. CoRR (2023)
Alberto Bocchinfuso, Daniela Calvetti, Erkki Somersalo
Adaptive anisotropic Bayesian meshing for inverse problems. CoRR (2023)
Daniela Calvetti, B. Johnson, Annalisa Pascarella, Francesca Pitolli, Erkki Somersalo, Barbara Vantaggi
Mining the Mind: Linear Discriminant Analysis of MEG source reconstruction time series supports dynamic changes in deep brain regions during meditation sessions. CoRR (2021)
Daniela Calvetti, Jamie Prezioso, Rossana Occhipinti, Walter F. Boron, Erkki Somersalo
Computational Model of Electrode-Induced Microenvironmental Effects on pH Measurements Near a Cell Membrane. Multiscale Model. Simul. 18 (2) (2020)
Daniela Calvetti, Monica Pragliola, Erkki Somersalo
Sparsity Promoting Hybrid Solvers for Hierarchical Bayesian Inverse Problems. SIAM J. Sci. Comput. 42 (6) (2020)
Daniela Calvetti, Alexander Hoover, Johnie Rose, Erkki Somersalo
Bayesian dynamical estimation of the parameters of an SE(A)IR COVID-19 spread model. CoRR (2020)
Monica Pragliola, Daniela Calvetti, Erkki Somersalo
Overcomplete representation in a hierarchical Bayesian framework. CoRR (2020)
Daniela Calvetti, Anna Cosmo, Simona Perotto, Erkki Somersalo
Bayesian Mesh Adaptation for Estimating Distributed Parameters. SIAM J. Sci. Comput. 42 (6) (2020)
Daniela Calvetti, Monica Pragliola, Erkki Somersalo
Sparsity promoting hybrid solvers for hierarchical Bayesian inverse problems. CoRR (2020)
Daniela Calvetti, Francesca Pitolli, Erkki Somersalo, Barbara Vantaggi
Bayes Meets Krylov: Statistically Inspired Preconditioners for CGLS. SIAM Rev. 60 (2) (2018)
Daniela Calvetti, Francesca Pitolli, Jamie Prezioso, Erkki Somersalo, Barbara Vantaggi
Priorconditioned CGLS-Based Quasi-MAP Estimate, Statistical Stopping Rule, and Ranking of Priors. SIAM J. Sci. Comput. 39 (5) (2017)
Margaret Callahan, Daniela Calvetti, Erkki Somersalo
Beyond the Model Limit: Parameter Inference Across Scales. SIAM/ASA J. Uncertain. Quantification 5 (1) (2017)
Daniela Calvetti, Salvatore Cuomo, Monica Pragliola, Erkki Somersalo, Gerardo Toraldo
Computational issues and numerical experiments for Linear Multistep Method Particle Filtering. CoRR (2016)
Daniela Calvetti, Erkki Somersalo, Ruben D. Spies
Variable order smoothness priors for ill-posed inverse problems. Math. Comput. 84 (294) (2015)
Laura Homa, Daniela Calvetti, Alexander Hoover, Erkki Somersalo
Bayesian Preconditioned CGLS for Source Separation in MEG Time Series. SIAM J. Sci. Comput. 35 (3) (2013)
Jenni Heino, Daniela Calvetti, Erkki Somersalo
Metabolica: A statistical research tool for analyzing metabolic networks. Comput. Methods Programs Biomed. 97 (2) (2010)
Daniela Calvetti, Harri Hakula, Sampsa Pursiainen, Erkki Somersalo
Conditionally Gaussian Hypermodels for Cerebral Source Localization. SIAM J. Imaging Sci. 2 (3) (2009)
Daniela Calvetti, Amy Kuceyeski, Erkki Somersalo
Sampling-Based Analysis of a Spatially Distributed Model for Liver Metabolism at Steady State. Multiscale Model. Simul. 7 (1) (2008)
Ranjan K. Dash, Erkki Somersalo, Marco E. Cabrera, Daniela Calvetti
An efficient deconvolution algorithm for estimating oxygen consumption during muscle activities. Comput. Methods Programs Biomed. 85 (3) (2007)
Daniela Calvetti, Erkki Somersalo
Large-Scale Statistical Parameter Estimation in Complex Systems with an Application to Metabolic Models. Multiscale Model. Simul. 5 (4) (2006)
Daniela Calvetti, Fiorella Sgallari, Erkki Somersalo
Image inpainting with structural bootstrap priors. Image Vis. Comput. 24 (7) (2006)
Ville Kolehmainen, Simon R. Arridge, Jari P. Kaipio, Martin Schweiger, Erkki Somersalo, Tanja Tarvainen, Marko Vauhkonen
Approximation Errors and Model Reduction in Optical Tomography. EMBC (2006)
Anna R. Ruuskanen, Aku Seppänen, Stephen Duncan, Erkki Somersalo, Jari P. Kaipio
Using tomographic measurements in process control. CDC (2004)
Tuomas Lunttila, Jukka Nenonen, Erkki Somersalo
Regularization in Cardiac Source Imaging. FIMH (2003)
Matti Lassas, Mustapha Mataich, Samuli Siltanen, Erkki Somersalo
Wind velocity observation with a CW Doppler radar. IEEE Trans. Geosci. Remote. Sens. 40 (11) (2002)
Aku Seppänen, Marko Vauhkonen, Päivi Vauhkonen, Erkki Somersalo, Jari P. Kaipio
Fluid dynamical models and state estimation in process tomography: Effect due to inaccuracies in flow fields. J. Electronic Imaging 10 (3) (2001)
Matti Lassas, Erkki Somersalo
On the Existence and Convergence of the Solution of PML Equations. Computing 60 (3) (1998)
Marko Vauhkonen, Dénes Vadász, Pasi A. Karjalainen, Erkki Somersalo, Jari P. Kaipio
Tikhonov regularization and prior information in electrical impedance tomography. IEEE Trans. Medical Imaging 17 (2) (1998)
Petri Ola, Erkki Somersalo
Electromagnetic Inverse Problems and Generalized Sommerfeld Potentials. SIAM J. Appl. Math. 56 (4) (1996)