Daniela Calvetti

Orcid: 0000-0001-5696-718X

According to our database1, Daniela Calvetti authored at least 51 papers between 1993 and 2024.

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Bibliography

2024
Computationally Efficient Sampling Methods for Sparsity Promoting Hierarchical Bayesian Models.
SIAM/ASA J. Uncertain. Quantification, 2024

An efficient hierarchical Bayesian method for the Kuopio tomography challenge 2023.
CoRR, 2024

Sparsity-promoting hierarchical Bayesian model for EIT with a blocky target.
CoRR, 2024

Distributed Tikhonov regularization for ill-posed inverse problems from a Bayesian perspective.
CoRR, 2024

2023
Adaptive anisotropic Bayesian meshing for inverse problems.
CoRR, 2023

Bayesian sparsity and class sparsity priors for dictionary learning and coding.
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.
CoRR, 2021

2020
Sparsity Promoting Hybrid Solvers for Hierarchical Bayesian Inverse Problems.
SIAM J. Sci. Comput., 2020

Bayesian Mesh Adaptation for Estimating Distributed Parameters.
SIAM J. Sci. Comput., 2020

Computational Model of Electrode-Induced Microenvironmental Effects on pH Measurements Near a Cell Membrane.
Multiscale Model. Simul., 2020

Overcomplete representation in a hierarchical Bayesian framework.
CoRR, 2020

Bayesian dynamical estimation of the parameters of an SE(A)IR COVID-19 spread model.
CoRR, 2020

2018
Bayes Meets Krylov: Statistically Inspired Preconditioners for CGLS.
SIAM Rev., 2018

2017
Priorconditioned CGLS-Based Quasi-MAP Estimate, Statistical Stopping Rule, and Ranking of Priors.
SIAM J. Sci. Comput., 2017

Beyond the Model Limit: Parameter Inference Across Scales.
SIAM/ASA J. Uncertain. Quantification, 2017

2016
Computational issues and numerical experiments for Linear Multistep Method Particle Filtering.
CoRR, 2016

2015
Statistical Methods in Imaging.
Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

Variable order smoothness priors for ill-posed inverse problems.
Math. Comput., 2015

2013
Bayesian Preconditioned CGLS for Source Separation in MEG Time Series.
SIAM J. Sci. Comput., 2013

Computational Mathematical Modeling - An Integrated Approach Across Scales.
Mathematical modeling and computation 17, SIAM, ISBN: 978-1-611-97247-4, 2013

2010
Metabolica: A statistical research tool for analyzing metabolic networks.
Comput. Methods Programs Biomed., 2010

2009
Conditionally Gaussian Hypermodels for Cerebral Source Localization.
SIAM J. Imaging Sci., 2009

Matrix methods in data mining and pattern recognition.
Math. Comput., 2009

2008
Sampling-Based Analysis of a Spatially Distributed Model for Liver Metabolism at Steady State.
Multiscale Model. Simul., 2008

2007
An efficient deconvolution algorithm for estimating oxygen consumption during muscle activities.
Comput. Methods Programs Biomed., 2007

Fast simulation of solid tumors thermal ablation treatments with a 3D reaction diffusion model.
Comput. Biol. Medicine, 2007

Computation of Gauss-Kronrod Quadrature Rules.
Proceedings of the Milestones in Matrix Computation, 2007

2006
Large-Scale Statistical Parameter Estimation in Complex Systems with an Application to Metabolic Models.
Multiscale Model. Simul., 2006

Image inpainting with structural bootstrap priors.
Image Vis. Comput., 2006

2005
Quadrature Rules Based on the Arnoldi Process.
SIAM J. Matrix Anal. Appl., 2005

Tikhonov regularization of large symmetric problems.
Numer. Linear Algebra Appl., 2005

2004
Tikhonov Regularization with a Solution Constraint.
SIAM J. Sci. Comput., 2004

L-Curve and Curvature Bounds for Tikhonov Regularization.
Numer. Algorithms, 2004

2003
Algorithm 827: irbleigs: A MATLAB program for computing a few eigenpairs of a large sparse Hermitian matrix.
ACM Trans. Math. Softw., 2003

IRBL: An Implicitly Restarted Block-Lanczos Method for Large-Scale Hermitian Eigenproblems.
SIAM J. Sci. Comput., 2003

On the Evaluation of Polynomial Coefficients.
Numer. Algorithms, 2003

Gauss Quadrature Applied to Trust Region Computations.
Numer. Algorithms, 2003

2002
On the regularizing properties of the GMRES method.
Numerische Mathematik, 2002

Lanczos-Based Exponential Filtering for Discrete Ill-Posed Problems.
Numer. Algorithms, 2002

2001
On the solution of large Sylvester-observer equations.
Numer. Linear Algebra Appl., 2001

2000
An L-ribbon for large underdetermined linear discrete ill-posed problems.
Numer. Algorithms, 2000

Computable error bounds and estimates for the conjugate gradient method.
Numer. Algorithms, 2000

Computation of Gauss-Kronrod quadrature rules.
Math. Comput., 2000

1999
Iterative exponential filtering for large discrete ill-posed problems.
Numerische Mathematik, 1999

A block-Lanczos method for large continuation problems.
Numer. Algorithms, 1999

On an inverse eigenproblem for Jacobi matrices.
Adv. Comput. Math., 1999

1998
Adaptively Preconditioned GMRES Algorithms.
SIAM J. Sci. Comput., 1998

1996
Application of ADI Iterative Methods to the Restoration of Noisy Images.
SIAM J. Matrix Anal. Appl., 1996

A hybrid iterative method for symmetric positive definite linear systems.
Numer. Algorithms, 1996

An adaptive Richardson iteration method for indefinite linear systems.
Numer. Algorithms, 1996

1993
Accuracy Control for Parallel Evaluation of Matrix Rational Functions.
Proceedings of the Sixth SIAM Conference on Parallel Processing for Scientific Computing, 1993


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