Daniela Calvetti

According to our database, Daniela Calvetti authored at least 51 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Computationally Efficient Sampling Methods for Sparsity Promoting Hierarchical Bayesian Models.

Daniela Calvetti, Erkki Somersalo

SIAM/ASA J. Uncertain. Quantification, 2024

An efficient hierarchical Bayesian method for the Kuopio tomography challenge 2023.

Monica Pragliola, Daniela Calvetti, Erkki Somersalo

CoRR, 2024

Sparsity-promoting hierarchical Bayesian model for EIT with a blocky target.

Daniela Calvetti, Monica Pragliola, Erkki Somersalo

CoRR, 2024

Distributed Tikhonov regularization for ill-posed inverse problems from a Bayesian perspective.

Daniela Calvetti, Erkki Somersalo

CoRR, 2024

2023

Adaptive anisotropic Bayesian meshing for inverse problems.

Alberto Bocchinfuso, Daniela Calvetti, Erkki Somersalo

CoRR, 2023

Bayesian sparsity and class sparsity priors for dictionary learning and coding.

Alberto Bocchinfuso, Daniela Calvetti, Erkki Somersalo

CoRR, 2023

2021

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

2020

Sparsity Promoting Hybrid Solvers for Hierarchical Bayesian Inverse Problems.

Daniela Calvetti, Monica Pragliola, Erkki Somersalo

SIAM J. Sci. Comput., 2020

Bayesian Mesh Adaptation for Estimating Distributed Parameters.

Daniela Calvetti, Anna Cosmo, Simona Perotto, Erkki Somersalo

SIAM J. Sci. Comput., 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

Overcomplete representation in a hierarchical Bayesian framework.

Monica Pragliola, Daniela Calvetti, Erkki Somersalo

CoRR, 2020

Bayesian dynamical estimation of the parameters of an SE(A)IR COVID-19 spread model.

Daniela Calvetti, Alexander Hoover, Johnie Rose, Erkki Somersalo

CoRR, 2020

2018

Bayes Meets Krylov: Statistically Inspired Preconditioners for CGLS.

Daniela Calvetti, Francesca Pitolli, Erkki Somersalo, Barbara Vantaggi

SIAM Rev., 2018

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

Beyond the Model Limit: Parameter Inference Across Scales.

Margaret Callahan, Daniela Calvetti, Erkki Somersalo

SIAM/ASA J. Uncertain. Quantification, 2017

2016

Computational issues and numerical experiments for Linear Multistep Method Particle Filtering.

Daniela Calvetti, Salvatore Cuomo, Monica Pragliola, Erkki Somersalo, Gerardo Toraldo

CoRR, 2016

2015

Statistical Methods in Imaging.

Daniela Calvetti, Erkki Somersalo

Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

Variable order smoothness priors for ill-posed inverse problems.

Daniela Calvetti, Erkki Somersalo, Ruben D. Spies

Math. Comput., 2015

2013

Bayesian Preconditioned CGLS for Source Separation in MEG Time Series.

Laura Homa, Daniela Calvetti, Alexander Hoover, Erkki Somersalo

SIAM J. Sci. Comput., 2013

Computational Mathematical Modeling - An Integrated Approach Across Scales.

Daniela Calvetti, Erkki Somersalo

Mathematical modeling and computation 17, SIAM, ISBN: 978-1-611-97247-4, 2013

2010

Metabolica: A statistical research tool for analyzing metabolic networks.

Jenni Heino, Daniela Calvetti, Erkki Somersalo

Comput. Methods Programs Biomed., 2010

2009

Conditionally Gaussian Hypermodels for Cerebral Source Localization.

Daniela Calvetti, Harri Hakula, Sampsa Pursiainen, Erkki Somersalo

SIAM J. Imaging Sci., 2009

Matrix methods in data mining and pattern recognition.

Daniela Calvetti

Math. Comput., 2009

2008

Sampling-Based Analysis of a Spatially Distributed Model for Liver Metabolism at Steady State.

Daniela Calvetti, Amy Kuceyeski, Erkki Somersalo

Multiscale Model. Simul., 2008

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

Fast simulation of solid tumors thermal ablation treatments with a 3D reaction diffusion model.

Daniele Bertaccini, Daniela Calvetti

Comput. Biol. Medicine, 2007

Computation of Gauss-Kronrod Quadrature Rules.

Gene H. Golub, Daniela Calvetti, William B. Gragg, Lothar Reichel

Proceedings of the Milestones in Matrix Computation, 2007

2006

Large-Scale Statistical Parameter Estimation in Complex Systems with an Application to Metabolic Models.

Daniela Calvetti, Erkki Somersalo

Multiscale Model. Simul., 2006

Image inpainting with structural bootstrap priors.

Daniela Calvetti, Fiorella Sgallari, Erkki Somersalo

Image Vis. Comput., 2006

2005

Quadrature Rules Based on the Arnoldi Process.

Daniela Calvetti, Sun-Mi Kim, Lothar Reichel

SIAM J. Matrix Anal. Appl., 2005

Tikhonov regularization of large symmetric problems.

Daniela Calvetti, Lothar Reichel, A. Shuibi

Numer. Linear Algebra Appl., 2005

2004

Tikhonov Regularization with a Solution Constraint.

Daniela Calvetti, Lothar Reichel

SIAM J. Sci. Comput., 2004

L-Curve and Curvature Bounds for Tikhonov Regularization.

Daniela Calvetti, Lothar Reichel, A. Shuibi

Numer. Algorithms, 2004

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

IRBL: An Implicitly Restarted Block-Lanczos Method for Large-Scale Hermitian Eigenproblems.

James Baglama, Daniela Calvetti, Lothar Reichel

SIAM J. Sci. Comput., 2003

On the Evaluation of Polynomial Coefficients.

Daniela Calvetti, Lothar Reichel

Numer. Algorithms, 2003

Gauss Quadrature Applied to Trust Region Computations.

Daniela Calvetti, Lothar Reichel

Numer. Algorithms, 2003

2002

On the regularizing properties of the GMRES method.

Daniela Calvetti, Bryan Lewis, Lothar Reichel

Numerische Mathematik, 2002

Lanczos-Based Exponential Filtering for Discrete Ill-Posed Problems.

Daniela Calvetti, Lothar Reichel

Numer. Algorithms, 2002

2001

On the solution of large Sylvester-observer equations.

Daniela Calvetti, Bryan Lewis, Lothar Reichel

Numer. Linear Algebra Appl., 2001

2000

An L-ribbon for large underdetermined linear discrete ill-posed problems.

Daniela Calvetti, Serena Morigi, Lothar Reichel, Fiorella Sgallari

Numer. Algorithms, 2000

Computable error bounds and estimates for the conjugate gradient method.

Daniela Calvetti, Serena Morigi, Lothar Reichel, Fiorella Sgallari

Numer. Algorithms, 2000

Computation of Gauss-Kronrod quadrature rules.

Daniela Calvetti, Gene H. Golub, William B. Gragg, Lothar Reichel

Math. Comput., 2000

1999

Iterative exponential filtering for large discrete ill-posed problems.

Daniela Calvetti, Lothar Reichel, Qin Zhang

Numerische Mathematik, 1999

A block-Lanczos method for large continuation problems.

Daniela Calvetti, Lothar Reichel

Numer. Algorithms, 1999

On an inverse eigenproblem for Jacobi matrices.

Daniela Calvetti, Lothar Reichel

Adv. Comput. Math., 1999

1998

Adaptively Preconditioned GMRES Algorithms.

James Baglama, Daniela Calvetti, Gene H. Golub, Lothar Reichel

SIAM J. Sci. Comput., 1998

1996

Application of ADI Iterative Methods to the Restoration of Noisy Images.

Daniela Calvetti, Lothar Reichel

SIAM J. Matrix Anal. Appl., 1996

A hybrid iterative method for symmetric positive definite linear systems.

Daniela Calvetti, Lothar Reichel

Numer. Algorithms, 1996

An adaptive Richardson iteration method for indefinite linear systems.

Daniela Calvetti, Lothar Reichel

Numer. Algorithms, 1996

1993

Accuracy Control for Parallel Evaluation of Matrix Rational Functions.

Daniela Calvetti, Efstratios Gallopoulos, Lothar Reichel

Proceedings of the Sixth SIAM Conference on Parallel Processing for Scientific Computing, 1993