Accuracy Control for Parallel Evaluation of Matrix Rational Functions. - Daniela Calvetti; Efstratios Gallopoulos; Lothar Reichel (PPSC, 1993)

An adaptive Richardson iteration method for indefinite linear systems. - Daniela Calvetti; Lothar Reichel (Numer. Algorithms, 1996)

A hybrid iterative method for symmetric positive definite linear systems. - Daniela Calvetti; Lothar Reichel (Numer. Algorithms, 1996)

Application of ADI Iterative Methods to the Restoration of Noisy Images. - Daniela Calvetti; Lothar Reichel (SIAM J. Matrix Anal. Appl., 1996)

Adaptively Preconditioned GMRES Algorithms. - James Baglama; Daniela Calvetti; Gene H. Golub; Lothar Reichel (SIAM J. Sci. Comput., 1998)

On an inverse eigenproblem for Jacobi matrices. - Daniela Calvetti; Lothar Reichel (Adv. Comput. Math., 1999)

A block-Lanczos method for large continuation problems. - Daniela Calvetti; Lothar Reichel (Numer. Algorithms, 1999)

Iterative exponential filtering for large discrete ill-posed problems. - Daniela Calvetti; Lothar Reichel; Qin Zhang (Numerische Mathematik, 1999)

Computation of Gauss-Kronrod quadrature rules. - Daniela Calvetti; Gene H. Golub; William B. Gragg; Lothar Reichel (Math. Comput., 2000)

Computable error bounds and estimates for the conjugate gradient method. - Daniela Calvetti; Serena Morigi; Lothar Reichel; Fiorella Sgallari (Numer. Algorithms, 2000)

An L-ribbon for large underdetermined linear discrete ill-posed problems. - Daniela Calvetti; Serena Morigi; Lothar Reichel; Fiorella Sgallari (Numer. Algorithms, 2000)

On the solution of large Sylvester-observer equations. - Daniela Calvetti; Bryan Lewis 002; Lothar Reichel (Numer. Linear Algebra Appl., 2001)

Lanczos-Based Exponential Filtering for Discrete Ill-Posed Problems. - Daniela Calvetti; Lothar Reichel (Numer. Algorithms, 2002)

On the regularizing properties of the GMRES method. - Daniela Calvetti; Bryan Lewis 002; Lothar Reichel (Numerische Mathematik, 2002)

Gauss Quadrature Applied to Trust Region Computations. - Daniela Calvetti; Lothar Reichel (Numer. Algorithms, 2003)

On the Evaluation of Polynomial Coefficients. - Daniela Calvetti; Lothar Reichel (Numer. Algorithms, 2003)

IRBL: An Implicitly Restarted Block-Lanczos Method for Large-Scale Hermitian Eigenproblems. - James Baglama; Daniela Calvetti; Lothar Reichel (SIAM J. Sci. Comput., 2003)

Algorithm 827: irbleigs: A MATLAB program for computing a few eigenpairs of a large sparse Hermitian matrix. - James Baglama; Daniela Calvetti; Lothar Reichel (ACM Trans. Math. Softw., 2003)

L-Curve and Curvature Bounds for Tikhonov Regularization. - Daniela Calvetti; Lothar Reichel; A. Shuibi (Numer. Algorithms, 2004)

Tikhonov Regularization with a Solution Constraint. - Daniela Calvetti; Lothar Reichel (SIAM J. Sci. Comput., 2004)

Tikhonov regularization of large symmetric problems. - Daniela Calvetti; Lothar Reichel; A. Shuibi (Numer. Linear Algebra Appl., 2005)

Quadrature Rules Based on the Arnoldi Process. - Daniela Calvetti; Sun-Mi Kim; Lothar Reichel (SIAM J. Matrix Anal. Appl., 2005)

Image inpainting with structural bootstrap priors. - Daniela Calvetti; Fiorella Sgallari; Erkki Somersalo (Image Vis. Comput., 2006)

Large-Scale Statistical Parameter Estimation in Complex Systems with an Application to Metabolic Models. - Daniela Calvetti; Erkki Somersalo (Multiscale Model. Simul., 2006)

Computation of Gauss-Kronrod Quadrature Rules. - Gene H. Golub; Daniela Calvetti; William B. Gragg; Lothar Reichel (Milestones in Matrix Computation, 2007)

Fast simulation of solid tumors thermal ablation treatments with a 3D reaction diffusion model. - Daniele Bertaccini; Daniela Calvetti (Comput. Biol. Medicine, 2007)

An efficient deconvolution algorithm for estimating oxygen consumption during muscle activities. - Ranjan K. Dash; Erkki Somersalo; Marco E. Cabrera; Daniela Calvetti (Comput. Methods Programs Biomed., 2007)

Sampling-Based Analysis of a Spatially Distributed Model for Liver Metabolism at Steady State. - Daniela Calvetti; Amy Kuceyeski; Erkki Somersalo (Multiscale Model. Simul., 2008)

Matrix methods in data mining and pattern recognition. - Daniela Calvetti (Math. Comput., 2009)

Conditionally Gaussian Hypermodels for Cerebral Source Localization. - Daniela Calvetti; Harri Hakula; Sampsa Pursiainen; Erkki Somersalo (SIAM J. Imaging Sci., 2009)

Metabolica: A statistical research tool for analyzing metabolic networks. - Jenni Heino; Daniela Calvetti; Erkki Somersalo (Comput. Methods Programs Biomed., 2010)

Computational Mathematical Modeling - An Integrated Approach Across Scales. - Daniela Calvetti; Erkki Somersalo (SIAM, 2013)

Bayesian Preconditioned CGLS for Source Separation in MEG Time Series. - Laura Homa; Daniela Calvetti; Alexander Hoover 002; Erkki Somersalo (SIAM J. Sci. Comput., 2013)

Variable order smoothness priors for ill-posed inverse problems. - Daniela Calvetti; Erkki Somersalo; Ruben D. Spies (Math. Comput., 2015)

Statistical Methods in Imaging. - Daniela Calvetti; Erkki Somersalo (Handbook of Mathematical Methods in Imaging, 2015)

Computational issues and numerical experiments for Linear Multistep Method Particle Filtering. - Daniela Calvetti; Salvatore Cuomo; Monica Pragliola; Erkki Somersalo; Gerardo Toraldo (CoRR, 2016)

Beyond the Model Limit: Parameter Inference Across Scales. - Margaret Callahan; Daniela Calvetti; Erkki Somersalo (SIAM/ASA J. Uncertain. Quantification, 2017)

Priorconditioned CGLS-Based Quasi-MAP Estimate, Statistical Stopping Rule, and Ranking of Priors. - Daniela Calvetti; Francesca Pitolli; Jamie Prezioso; Erkki Somersalo; Barbara Vantaggi (SIAM J. Sci. Comput., 2017)

Bayes Meets Krylov: Statistically Inspired Preconditioners for CGLS. - Daniela Calvetti; Francesca Pitolli; Erkki Somersalo; Barbara Vantaggi (SIAM Rev., 2018)

Bayesian dynamical estimation of the parameters of an SE(A)IR COVID-19 spread model. - Daniela Calvetti; Alexander Hoover 002; Johnie Rose; Erkki Somersalo (CoRR, 2020)

Overcomplete representation in a hierarchical Bayesian framework. - Monica Pragliola; Daniela Calvetti; Erkki Somersalo (CoRR, 2020)

Computational Model of Electrode-Induced Microenvironmental Effects on pH Measurements Near a Cell Membrane. - Daniela Calvetti; Jamie Prezioso; Rossana Occhipinti; Walter F. Boron; Erkki Somersalo (Multiscale Model. Simul., 2020)

Bayesian Mesh Adaptation for Estimating Distributed Parameters. - Daniela Calvetti; Anna Cosmo; Simona Perotto; Erkki Somersalo (SIAM J. Sci. Comput., 2020)

Sparsity Promoting Hybrid Solvers for Hierarchical Bayesian Inverse Problems. - Daniela Calvetti; Monica Pragliola; Erkki Somersalo (SIAM J. Sci. Comput., 2020)

Mining the Mind: Linear Discriminant Analysis of MEG source reconstruction time series supports dynamic changes in deep brain regions during meditation sessions. - Daniela Calvetti; B. Johnson; Annalisa Pascarella; Francesca Pitolli; Erkki Somersalo; Barbara Vantaggi (CoRR, 2021)

Bayesian sparsity and class sparsity priors for dictionary learning and coding. - Alberto Bocchinfuso; Daniela Calvetti; Erkki Somersalo (CoRR, 2023)

Adaptive anisotropic Bayesian meshing for inverse problems. - Alberto Bocchinfuso; Daniela Calvetti; Erkki Somersalo (CoRR, 2023)

An efficient hierarchical Bayesian method for the Kuopio tomography challenge 2023. - Monica Pragliola; Daniela Calvetti; Erkki Somersalo (CoRR, 2024)

Computationally Efficient Sampling Methods for Sparsity Promoting Hierarchical Bayesian Models. - Daniela Calvetti; Erkki Somersalo (SIAM/ASA J. Uncertain. Quantification, 2024)

Quantitative evaluation of DNA damage repair dynamics to elucidate predictors of autism vs. cancer in individuals with germline PTEN variants. - Ruipeng Wei; Masahiro Hitomi; Tammy Sadler; Lamis Yehia; Daniela Calvetti; Jacob G. Scott; Charis Eng (PLoS Comput. Biol., 2024)

Sparsity-promoting hierarchical Bayesian model for EIT with a blocky target. - Daniela Calvetti; Monica Pragliola; Erkki Somersalo (J. Comput. Phys., 2025)

Subspace Splitting Fast Sampling from Gaussian Posterior Distributions of Linear Inverse Problems. - Daniela Calvetti; Erkki Somersalo (CoRR, 2025)

Distributed Tikhonov regularization for ill-posed inverse problems from a Bayesian perspective. - Daniela Calvetti; Erkki Somersalo (Comput. Optim. Appl., 2025)

Bayesian dictionary learning estimation of cell membrane permeability from surface pH data. - Alberto Bocchinfuso; Daniela Calvetti; Erkki Somersalo (CoRR, 2025)