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Daniela Calvetti
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2020 – today
- 2024
- [j39]Daniela Calvetti, Erkki Somersalo:
Computationally Efficient Sampling Methods for Sparsity Promoting Hierarchical Bayesian Models. SIAM/ASA J. Uncertain. Quantification 12(2): 524-548 (2024) - [j38]Ruipeng Wei, Masahiro Hitomi, Tammy Sadler, Lamis Yehia, Daniela Calvetti, Jacob G. Scott, Charis Eng:
Quantitative evaluation of DNA damage repair dynamics to elucidate predictors of autism vs. cancer in individuals with germline PTEN variants. PLoS Comput. Biol. 20(10): 1012449 (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
- [j37]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) - [j36]Daniela Calvetti, Monica Pragliola, Erkki Somersalo:
Sparsity Promoting Hybrid Solvers for Hierarchical Bayesian Inverse Problems. SIAM J. Sci. Comput. 42(6): A3761-A3784 (2020) - [j35]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
- [j34]Daniela Calvetti, Francesca Pitolli, Erkki Somersalo, Barbara Vantaggi:
Bayes Meets Krylov: Statistically Inspired Preconditioners for CGLS. SIAM Rev. 60(2): 429-461 (2018) - 2017
- [j33]Margaret Callahan, Daniela Calvetti, Erkki Somersalo:
Beyond the Model Limit: Parameter Inference Across Scales. SIAM/ASA J. Uncertain. Quantification 5(1): 665-693 (2017) - [j32]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
- [j31]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 - [j30]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
- [j29]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
- [j28]Daniela Calvetti:
Matrix methods in data mining and pattern recognition. Math. Comput. 78(267): 1867-1868 (2009) - [j27]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
- [j26]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
- [j25]Daniele Bertaccini, Daniela Calvetti:
Fast simulation of solid tumors thermal ablation treatments with a 3D reaction diffusion model. Comput. Biol. Medicine 37(8): 1173-1182 (2007) - [j24]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) - [p1]Gene H. Golub, Daniela Calvetti, William B. Gragg, Lothar Reichel:
Computation of Gauss-Kronrod Quadrature Rules. Milestones in Matrix Computation 2007: 434-456 - 2006
- [j23]Daniela Calvetti, Fiorella Sgallari, Erkki Somersalo:
Image inpainting with structural bootstrap priors. Image Vis. Comput. 24(7): 782-793 (2006) - [j22]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) - 2005
- [j21]Daniela Calvetti, Lothar Reichel, A. Shuibi:
Tikhonov regularization of large symmetric problems. Numer. Linear Algebra Appl. 12(2-3): 127-139 (2005) - [j20]Daniela Calvetti, Sun-Mi Kim, Lothar Reichel:
Quadrature Rules Based on the Arnoldi Process. SIAM J. Matrix Anal. Appl. 26(3): 765-781 (2005) - 2004
- [j19]Daniela Calvetti, Lothar Reichel, A. Shuibi:
L-Curve and Curvature Bounds for Tikhonov Regularization. Numer. Algorithms 35(2-4): 301-314 (2004) - [j18]Daniela Calvetti, Lothar Reichel:
Tikhonov Regularization with a Solution Constraint. SIAM J. Sci. Comput. 26(1): 224-239 (2004) - 2003
- [j17]Daniela Calvetti, Lothar Reichel:
On the Evaluation of Polynomial Coefficients. Numer. Algorithms 33(1-4): 153-161 (2003) - [j16]Daniela Calvetti, Lothar Reichel:
Gauss Quadrature Applied to Trust Region Computations. Numer. Algorithms 34(1): 85-102 (2003) - [j15]James Baglama, Daniela Calvetti, Lothar Reichel:
IRBL: An Implicitly Restarted Block-Lanczos Method for Large-Scale Hermitian Eigenproblems. SIAM J. Sci. Comput. 24(5): 1650-1677 (2003) - [j14]James Baglama, Daniela Calvetti, Lothar Reichel:
Algorithm 827: irbleigs: A MATLAB program for computing a few eigenpairs of a large sparse Hermitian matrix. ACM Trans. Math. Softw. 29(3): 337-348 (2003) - 2002
- [j13]Daniela Calvetti, Lothar Reichel:
Lanczos-Based Exponential Filtering for Discrete Ill-Posed Problems. Numer. Algorithms 29(1-3): 45-65 (2002) - [j12]Daniela Calvetti, Bryan Lewis, Lothar Reichel:
On the regularizing properties of the GMRES method. Numerische Mathematik 91(4): 605-625 (2002) - 2001
- [j11]Daniela Calvetti, Bryan Lewis, Lothar Reichel:
On the solution of large Sylvester-observer equations. Numer. Linear Algebra Appl. 8(6-7): 435-451 (2001) - 2000
- [j10]Daniela Calvetti, Gene H. Golub, William B. Gragg, Lothar Reichel:
Computation of Gauss-Kronrod quadrature rules. Math. Comput. 69(231): 1035-1052 (2000) - [j9]Daniela Calvetti, Serena Morigi, Lothar Reichel, Fiorella Sgallari:
Computable error bounds and estimates for the conjugate gradient method. Numer. Algorithms 25(1-4): 75-88 (2000) - [j8]Daniela Calvetti, Serena Morigi, Lothar Reichel, Fiorella Sgallari:
An L-ribbon for large underdetermined linear discrete ill-posed problems. Numer. Algorithms 25(1-4): 89-107 (2000)
1990 – 1999
- 1999
- [j7]Daniela Calvetti, Lothar Reichel:
On an inverse eigenproblem for Jacobi matrices. Adv. Comput. Math. 11(1): 11-20 (1999) - [j6]Daniela Calvetti, Lothar Reichel:
A block-Lanczos method for large continuation problems. Numer. Algorithms 21(1-4): 109-118 (1999) - [j5]Daniela Calvetti, Lothar Reichel, Qin Zhang:
Iterative exponential filtering for large discrete ill-posed problems. Numerische Mathematik 83(4): 535-556 (1999) - 1998
- [j4]James Baglama, Daniela Calvetti, Gene H. Golub, Lothar Reichel:
Adaptively Preconditioned GMRES Algorithms. SIAM J. Sci. Comput. 20(1): 243-269 (1998) - 1996
- [j3]Daniela Calvetti, Lothar Reichel:
A hybrid iterative method for symmetric positive definite linear systems. Numer. Algorithms 11(1): 79-98 (1996) - [j2]Daniela Calvetti, Lothar Reichel:
An adaptive Richardson iteration method for indefinite linear systems. Numer. Algorithms 12(1): 125-149 (1996) - [j1]Daniela Calvetti, Lothar Reichel:
Application of ADI Iterative Methods to the Restoration of Noisy Images. SIAM J. Matrix Anal. Appl. 17(1): 165-186 (1996) - 1993
- [c1]Daniela Calvetti, Efstratios Gallopoulos, Lothar Reichel:
Accuracy Control for Parallel Evaluation of Matrix Rational Functions. PPSC 1993: 652-655
Coauthor Index
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last updated on 2024-12-02 21:23 CET by the dblp team
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