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Erkki Somersalo
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2020 – today
- 2024
- [j20]Daniela Calvetti
, Erkki Somersalo
:
Computationally Efficient Sampling Methods for Sparsity Promoting Hierarchical Bayesian Models. SIAM/ASA J. Uncertain. Quantification 12(2): 524-548 (2024) - [i11]Daniela Calvetti, Erkki Somersalo:
Distributed Tikhonov regularization for ill-posed inverse problems from a Bayesian perspective. CoRR abs/2404.05956 (2024) - [i10]Daniela Calvetti, Monica Pragliola, Erkki Somersalo:
Sparsity-promoting hierarchical Bayesian model for EIT with a blocky target. CoRR abs/2404.19115 (2024) - [i9]Monica Pragliola, Daniela Calvetti, Erkki Somersalo:
An efficient hierarchical Bayesian method for the Kuopio tomography challenge 2023. CoRR abs/2405.03343 (2024) - 2023
- [i8]Daniela Calvetti, Erkki Somersalo:
Computationally efficient sampling methods for sparsity promoting hierarchical Bayesian models. CoRR abs/2303.16988 (2023) - [i7]Alberto Bocchinfuso, Daniela Calvetti, Erkki Somersalo:
Bayesian sparsity and class sparsity priors for dictionary learning and coding. CoRR abs/2309.00999 (2023) - [i6]Alberto Bocchinfuso, Daniela Calvetti, Erkki Somersalo:
Adaptive anisotropic Bayesian meshing for inverse problems. CoRR abs/2310.03855 (2023) - 2021
- [i5]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 abs/2101.12559 (2021) - 2020
- [j19]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): 1053-1075 (2020) - [j18]Daniela Calvetti
, Monica Pragliola, Erkki Somersalo
:
Sparsity Promoting Hybrid Solvers for Hierarchical Bayesian Inverse Problems. SIAM J. Sci. Comput. 42(6): A3761-A3784 (2020) - [j17]Daniela Calvetti
, Anna Cosmo, Simona Perotto
, Erkki Somersalo
:
Bayesian Mesh Adaptation for Estimating Distributed Parameters. SIAM J. Sci. Comput. 42(6): A3878-A3906 (2020) - [i4]Daniela Calvetti, Monica Pragliola, Erkki Somersalo:
Sparsity promoting hybrid solvers for hierarchical Bayesian inverse problems. CoRR abs/2003.06532 (2020) - [i3]Daniela Calvetti, Alexander Hoover, Johnie Rose, Erkki Somersalo:
Bayesian dynamical estimation of the parameters of an SE(A)IR COVID-19 spread model. CoRR abs/2005.04365 (2020) - [i2]Monica Pragliola, Daniela Calvetti, Erkki Somersalo:
Overcomplete representation in a hierarchical Bayesian framework. CoRR abs/2006.13524 (2020)
2010 – 2019
- 2018
- [j16]Daniela Calvetti
, Francesca Pitolli, Erkki Somersalo
, Barbara Vantaggi
:
Bayes Meets Krylov: Statistically Inspired Preconditioners for CGLS. SIAM Rev. 60(2): 429-461 (2018) - 2017
- [j15]Margaret Callahan, Daniela Calvetti
, Erkki Somersalo
:
Beyond the Model Limit: Parameter Inference Across Scales. SIAM/ASA J. Uncertain. Quantification 5(1): 665-693 (2017) - [j14]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) - 2016
- [i1]Daniela Calvetti, Salvatore Cuomo, Monica Pragliola, Erkki Somersalo, Gerardo Toraldo:
Computational issues and numerical experiments for Linear Multistep Method Particle Filtering. CoRR abs/1605.05042 (2016) - 2015
- [j13]Daniela Calvetti, Erkki Somersalo, Ruben D. Spies
:
Variable order smoothness priors for ill-posed inverse problems. Math. Comput. 84(294): 1753-1773 (2015) - [r1]Daniela Calvetti
, Erkki Somersalo
:
Statistical Methods in Imaging. Handbook of Mathematical Methods in Imaging 2015: 1343-1392 - 2013
- [b1]Daniela Calvetti, Erkki Somersalo:
Computational Mathematical Modeling - An Integrated Approach Across Scales. Mathematical modeling and computation 17, SIAM 2013, ISBN 978-1-611-97247-4, pp. I-XII, 1-222 - [j12]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) - 2010
- [j11]Jenni Heino, Daniela Calvetti
, Erkki Somersalo
:
Metabolica: A statistical research tool for analyzing metabolic networks. Comput. Methods Programs Biomed. 97(2): 151-167 (2010)
2000 – 2009
- 2009
- [j10]Daniela Calvetti
, Harri Hakula
, Sampsa Pursiainen, Erkki Somersalo
:
Conditionally Gaussian Hypermodels for Cerebral Source Localization. SIAM J. Imaging Sci. 2(3): 879-909 (2009) - 2008
- [j9]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): 407-431 (2008) - 2007
- [j8]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): 247-256 (2007) - 2006
- [j7]Daniela Calvetti
, Fiorella Sgallari
, Erkki Somersalo
:
Image inpainting with structural bootstrap priors. Image Vis. Comput. 24(7): 782-793 (2006) - [j6]Daniela Calvetti
, Erkki Somersalo
:
Large-Scale Statistical Parameter Estimation in Complex Systems with an Application to Metabolic Models. Multiscale Model. Simul. 5(4): 1333-1366 (2006) - [c3]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: 2659-2662 - 2004
- [c2]Anna R. Ruuskanen, Aku Seppänen, Stephen Duncan, Erkki Somersalo, Jari P. Kaipio:
Using tomographic measurements in process control. CDC 2004: 4696-4701 - 2003
- [c1]Tuomas Lunttila, Jukka Nenonen, Erkki Somersalo:
Regularization in Cardiac Source Imaging. FIMH 2003: 101-110 - 2002
- [j5]Matti Lassas
, Mustapha Mataich, Samuli Siltanen
, Erkki Somersalo
:
Wind velocity observation with a CW Doppler radar. IEEE Trans. Geosci. Remote. Sens. 40(11): 2427-2437 (2002) - 2001
- [j4]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): 630-640 (2001)
1990 – 1999
- 1998
- [j3]Matti Lassas
, Erkki Somersalo
:
On the Existence and Convergence of the Solution of PML Equations. Computing 60(3): 229-242 (1998) - [j2]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): 285-293 (1998) - 1996
- [j1]Petri Ola, Erkki Somersalo
:
Electromagnetic Inverse Problems and Generalized Sommerfeld Potentials. SIAM J. Appl. Math. 56(4): 1129-1145 (1996)
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last updated on 2024-07-20 20:28 CEST by the dblp team
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