Daniela Calvetti
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Italian American mathematician
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Why Is Daniela Calvetti Influential?
(Suggest an Edit or Addition)According to Wikipedia, Daniela Calvetti is an Italian-American applied mathematician whose work concerns scientific computing, and connects Bayesian statistics to numerical analysis. She is the James Wood Williamson Professor of Mathematics at Case Western Reserve University.
Daniela Calvetti's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Tikhonov regularization and the L-curve for large discrete ill-posed problems (2000) (416)
- AN IMPLICITLY RESTARTED LANCZOS METHOD FOR LARGE SYMMETRIC EIGENVALUE PROBLEMS (1994) (266)
- Introduction to Bayesian Scientific Computing: Ten Lectures on Subjective Computing (2007) (255)
- Matrix methods in data mining and pattern recognition (2009) (203)
- Application of ADI Iterative Methods to the Restoration of Noisy Images (1996) (164)
- Adaptively Preconditioned GMRES Algorithms (1998) (164)
- Tikhonov Regularization of Large Linear Problems (2003) (142)
- Estimation of the L-Curve via Lanczos Bidiagonalization (1999) (135)
- Computation of Gauss-Kronrod quadrature rules (2000) (121)
- Hypermodels in the Bayesian imaging framework (2008) (105)
- Noninvasive Electrocardiographic Imaging (ECGI): Application of the Generalized Minimal Residual (GMRes) Method (2003) (103)
- On the regularizing properties of the GMRES method (2002) (100)
- GMRES-type methods for inconsistent systems (2000) (86)
- GMRES, L-Curves, and Discrete Ill-Posed Problems (2002) (83)
- IRBL: An Implicitly Restarted Block-Lanczos Method for Large-Scale Hermitian Eigenproblems (2002) (82)
- Iterative methods for the computation of a few eigenvalues of a large symmetric matrix (1996) (72)
- L-Curve Curvature Bounds via Lanczos Bidiagonalization (2001) (69)
- On the Choice of Subspace for Iterative Methods for Linear Discrete Ill-Posed Problems (2001) (69)
- Conditionally Gaussian Hypermodels for Cerebral Source Localization (2008) (63)
- L-Curve and Curvature Bounds for Tikhonov Regularization (2004) (62)
- A Gaussian hypermodel to recover blocky objects (2007) (60)
- Inverse problems: From regularization to Bayesian inference (2018) (56)
- Astrocytes as the glucose shunt for glutamatergic neurons at high activity: an in silico study. (2009) (54)
- Priorconditioners for linear systems (2005) (53)
- Invertible smoothing preconditioners for linear discrete ill-posed problems (2005) (52)
- Metapopulation Network Models for Understanding, Predicting, and Managing the Coronavirus Disease COVID-19 (2020) (51)
- Tikhonov Regularization with a Solution Constraint (2004) (50)
- Non-negativity and iterative methods for ill-posed problems (2004) (50)
- Aristotelian prior boundary conditions (2006) (49)
- Stochastic modelling of muscle recruitment during activity (2015) (48)
- Fast inversion of vandermonde-like matrices involving orthogonal polynomials (1993) (46)
- Iterative updating of model error for Bayesian inversion (2017) (45)
- Preconditioned iterative methods for linear discrete ill-posed problems from a Bayesian inversion perspective (2007) (41)
- Algorithm 827: irbleigs: A MATLAB program for computing a few eigenpairs of a large sparse Hermitian matrix (2003) (40)
- Parameter estimation for stiff deterministic dynamical systems via ensemble Kalman filter (2014) (38)
- Statistical Analysis of Metabolic Pathways of Brain Metabolism at Steady State (2007) (36)
- Bayesian flux balance analysis applied to a skeletal muscle metabolic model (2007) (35)
- Large-Scale Statistical Parameter Estimation in Complex Systems with an Application to Metabolic Models (2006) (34)
- Hierarchical regularization for edge-preserving reconstruction of PET images (2010) (33)
- On the solution of large Sylvester‐observer equations (2001) (31)
- TIKHONOV REGULARIZATION WITH NONNEGATIVITY CONSTRAINT (2004) (31)
- Linear multistep methods, particle filtering and sequential Monte Carlo (2013) (31)
- A hierarchical Krylov–Bayes iterative inverse solver for MEG with physiological preconditioning (2015) (30)
- Computation of a Few Small Eigenvalues of a Large Matrix with Application to Liquid Crystal Modeling (1998) (30)
- Incomplete partial fractions for parallel evaluation of rational matrix functions (1995) (30)
- An adaptive Chebyshev iterative method\newline for nonsymmetric linear systems based on modified moments (1994) (29)
- A reaction-diffusion model of CO2 influx into an oocyte. (2012) (29)
- Hierachical Bayesian models and sparsity: ℓ2-magic (2019) (29)
- Iterative methods for X − AXB = C (1997) (28)
- On the Evaluation of Polynomial Coefficients (2003) (28)
- Metabolica: A statistical research tool for analyzing metabolic networks (2010) (28)
- Ménage à Trois: The Role of Neurotransmitters in the Energy Metabolism of Astrocytes, Glutamatergic, and GABAergic Neurons (2012) (27)
- Inverse problems in the Bayesian framework (2014) (27)
- Image inpainting with structural bootstrap priors (2006) (26)
- Computable error bounds and estimates for the conjugate gradient method (2000) (26)
- Quantitative in silico Analysis of Neurotransmitter Pathways Under Steady State Conditions (2013) (26)
- Sparse reconstructions from few noisy data: analysis of hierarchical Bayesian models with generalized gamma hyperpriors (2020) (26)
- Dynamic updating of numerical model discrepancy using sequential sampling (2014) (25)
- A Stochastic Roundoff Error Analysis for the Fast Fourier Transform (1991) (25)
- Restoration of images with spatially variant blur by the GMRES method (2000) (25)
- Dynamic activation model for a glutamatergic neurovascular unit. (2011) (24)
- A regularizing Lanczos iteration method for underdetermined linear systems (2000) (24)
- Bayes Meets Krylov: Statistically Inspired Preconditioners for CGLS (2018) (24)
- Left and right preconditioning for electrical impedance tomography with structural information (2012) (23)
- Energetics of Inhibition: Insights with a Computational Model of the Human GABAergic Neuron–Astrocyte Cellular Complex (2010) (23)
- Iterative Solution Methods for Large Linear Discrete Ill-Posed Problems (1999) (23)
- Iterative exponential filtering for large discrete ill-posed problems (1999) (22)
- Lanczos-Based Exponential Filtering for Discrete Ill-Posed Problems (2002) (22)
- Statistical elimination of boundary artefacts in image deblurring (2005) (22)
- Applications of Anti-Gauss Quadrature Rules in Linear Algebra (1999) (22)
- Enriched Krylov subspace methods for ill-posed problems (2003) (21)
- Adaptive Richardson iteration based on Leja points (1996) (21)
- CONTINUATION METHODS FOR THE COMPUTATION OF ZEROS OF SZEGO POLYNOMIALS (1996) (21)
- COMPUTATION OF GAUSS-KRONROD QUADRATURE RULES WITH NON-POSITIVE WEIGHTS (1999) (20)
- A parallel implementation of the GMRES method (1993) (20)
- Computational tools for calculating alternative muscle force patterns during motion: a comparison of possible solutions. (2013) (20)
- Iterative methods for large continuation problems (2000) (20)
- Iterative solution methods for ill-posed problems (1995) (19)
- An iterative method with error estimators (2001) (19)
- Brain Activity Mapping from MEG Data via a Hierarchical Bayesian Algorithm with Automatic Depth Weighting (2017) (18)
- A spatially distributed computational model of brain cellular metabolism. (2015) (18)
- Artificial boundary conditions and domain truncation in electrical impedance tomography. Part I: Theory and preliminary results (2015) (17)
- The Metabolism of Neurons and Astrocytes Through Mathematical Models (2012) (17)
- Quadrature Rules Based on the Arnoldi Process (2005) (17)
- The restarted QR-algorithm for eigenvalue computation of structured matrices (2002) (16)
- Regularization of inverse planning for intensity-modulated radiotherapy. (2005) (16)
- Subjective Knowledge or Objective Belief? An Oblique Look to Bayesian Methods (2010) (16)
- Bayesian dynamical estimation of the parameters of an SE(A)IR COVID-19 spread model (2020) (16)
- Sampling-Based Analysis of a Spatially Distributed Model for Liver Metabolism at Steady State (2008) (16)
- Polynomial zerofinders based on Szego polynomials (2001) (16)
- Symmetric Gauss–Lobatto and Modified Anti-Gauss Rules (2003) (16)
- Bayesian stationary state flux balance analysis for a skeletal muscle metabolic model (2007) (15)
- Sparsity promoting hybrid solvers for hierarchical Bayesian inverse problems (2020) (14)
- A computational model integrating brain electrophysiology and metabolism highlights the key role of extracellular potassium and oxygen. (2018) (14)
- On the selection of poles in the single-input pole placement problem (1999) (13)
- A mathematical model of liver metabolism: from steady state to dynamic (2008) (13)
- Hierarchical beamformer and cross-talk reduction in electroneurography (2011) (13)
- Large-scale Bayesian parameter estimation for a three-compartment cardiac metabolism model during ischemia (2006) (13)
- A hybrid stochastic-deterministic computational model accurately describes spatial dynamics and virus diffusion in HIV-1 growth competition assay. (2012) (13)
- An adaptive smoothness regularization algorithm for optical tomography. (2008) (13)
- Artificial boundary conditions and domain truncation in electrical impedance tomography. Part II: Stochastic extension of the boundary map (2015) (12)
- Krylov subspace iterative methods for nonsymmetric discrete ill-posed problems in image restoration (2001) (12)
- Bayes meets Krylov: preconditioning CGLS for underdetermined systems (2015) (11)
- Application of a block modified Chebyshev algorithm to the iterative solution of symmetric linear systems with multiple right hand side vectors (1994) (10)
- L-curve for the MINRES method (2000) (10)
- An adaptive Richardson iteration method for indefinite linear systems (1996) (10)
- Microlocal sequential regularization in imaging (2007) (10)
- Smooth or abrupt: a comparison of regularization methods (1998) (9)
- Quantitative imaging with electrical impedance spectroscopy (2012) (9)
- Factorizations of Cauchy matrices (1997) (9)
- A Chebychev-Vandermonde solver (1992) (8)
- Dynamic Bayesian sensitivity analysis of a myocardial metabolic model. (2008) (8)
- An L-ribbon for large underdetermined linear discrete ill-posed problems (2000) (8)
- Computational Mathematical Modeling - An Integrated Approach Across Scales (2012) (8)
- ON THE SOLUTION OF CAUCHY SYSTEMS OF EQUATIONS (1996) (8)
- Local regularization method applied to estimating oxygen consumption during muscle activities (2006) (7)
- Uncertainty quantification in flux balance analysis of spatially lumped and distributed models of neuron–astrocyte metabolism (2016) (7)
- Bayesian image deblurring and boundary effects (2005) (7)
- Gauss Quadrature Applied to Trust Region Computations (2003) (7)
- A hybrid GMRES and TV-norm-based method for image restoration (2002) (7)
- Fast simulation of solid tumors thermal ablation treatments with a 3D reaction diffusion model (2007) (6)
- Priorconditioned CGLS-Based Quasi-MAP Estimate, Statistical Stopping Rule, and Ranking of Priors (2017) (6)
- Computing the Poles of Autoregressive Models from the Reeection Coeecients (2007) (6)
- A hybrid iterative method for symmetric positive definite linear systems (1996) (6)
- A modified companion matrix method based on Newton polynomials (2001) (6)
- A Bayesian filtering approach to layer stripping for electrical impedance tomography (2020) (6)
- Gaussian Quadrature Applied to Adaptive Chebyshev Iteration (1994) (6)
- A unified Bayesian framework for algorithms to recover blocky signals (2007) (6)
- Pole placement preconditioning (2003) (5)
- On an inverse eigenproblem for Jacobi matrices (1999) (5)
- Local regularization and Bayesian hypermodels (2005) (5)
- Astrocytic tracer dynamics estimated from [1-¹¹C]-acetate PET measurements. (2014) (5)
- Bayesian Preconditioned CGLS for Source Separation in MEG Time Series (2013) (5)
- Variable order smoothness priors for ill-posed inverse problems (2014) (5)
- Life sciences through mathematical models (2015) (5)
- Bayesian mixture models for source separation in MEG (2011) (5)
- Statistical Methods in Imaging (2015) (5)
- Partial Eigenvalue Assignment for Large Linear Control Systems (4)
- Vectorized and Parallel Particle Filter SMC Parameter Estimation for Stiff ODEs (2014) (4)
- The inverse problem of brain energetics: ketone bodies as alternative substrates (2008) (4)
- Computational Model of Electrode-Induced Microenvironmental Effects on pH Measurements Near a Cell Membrane (2020) (4)
- Roundoff error for floating point representation of real data (1991) (4)
- Tikhonov regularization of large symmetric problems (2005) (4)
- Recovery of shapes: hypermodels and Bayesian learning (2008) (4)
- Brain energetics plays a key role in the coordination of electrophysiology, metabolism and hemodynamics: Evidence from an integrated computational model. (2019) (4)
- Approximation of continuous EIT data from electrode measurements with Bayesian methods (2019) (4)
- An efficient deconvolution algorithm for estimating oxygen consumption during muscle activities (2007) (4)
- A stochastic roundoff error analysis for the convolution (1992) (4)
- Bayesian particle filter algorithm for learning epidemic dynamics (2021) (4)
- A computable error bound for matrix functionals (1999) (3)
- Estimating hemodynamic stimulus and blood vessel compliance from cerebral blood flow data. (2019) (3)
- Computational modelling of cellular level metabolism (2008) (3)
- A hybrid iterative method for symmetric indefinite linear systems (1998) (3)
- Brain Activity Mapping from MEG Data via a Hierarchical Bayesian Algorithm with Automatic Depth Weighting (2018) (3)
- NA-92-05 M AY 1992 Adaptive Chebyshev Iterative Methods for Nonsymmetric Linear Systems Based on Modified Moments (1999) (3)
- Interpretation of NMR spectroscopy human brain data with a multi-compartment computational model of cerebral metabolism. (2011) (3)
- Modeling HIV-1 Dynamics and Fitness in Cell Culture Across Scales (2014) (2)
- Computational issues and numerical experiments for Linear Multistep Method Particle Filtering (2016) (2)
- A block-Lanczos method for large continuation problems (1999) (2)
- Accuracy Control for Parallel Evaluation of Matrix Rational Functions (1993) (2)
- Mining the Mind: Linear Discriminant Analysis of MEG Source Reconstruction Time Series Supports Dynamic Changes in Deep Brain Regions During Meditation Sessions (2021) (2)
- Hybrid solver for hierarchical Bayesian inverse problems (2020) (2)
- Partial Eigenvalue Assignment for Large Observer Problems (2007) (2)
- Overcomplete representation in a hierarchical Bayesian framework (2020) (2)
- Computational issues in linear multistep method particle filtering (2016) (2)
- Inverse problems and computational cell metabolic models: a statistical approach (2008) (2)
- An adaptive semi-iterative method for symmetric semidefinite linear systems (1994) (2)
- Adaptive Chebyshev Iteration Based on Modified Moments (1993) (1)
- Polynomial zeronders based on Szeg}o polynomials (2001) (1)
- Numerical aspects of some solution methods for large Sylvester-observer equations (1997) (1)
- The Metabolism of Neurons and Astrocytes Through Mathematical Models (2012) (1)
- A CS decomposition for orthogonal matrices with application to eigenvalue computation (2015) (1)
- Conditionally Gaussian hypermodels for source localization in brain imaging (2008) (1)
- Bayesian Mesh Adaptation for Estimating Distributed Parameters (2020) (1)
- Bayesian Scientific Computing (2023) (1)
- Bayesian Integration in Force Estimation (2015) (0)
- Effects of Intracellular and Extracellular Carbonic Anhydrase on the Influx of CO2 in a Xenopus Oocyte: Insights with a Mathematical Model (2011) (0)
- Basic problem in numerical linear algebra (2007) (0)
- Mathematical modeling of the microenvironment beneath a surface pH electrode tip (2016) (0)
- Sampling: the real thing (2007) (0)
- Modeling Epidemic Spread among a Commuting Population Using Transport Schemes (2021) (0)
- Book Review: Matrix methods in data mining and pattern recognition (2009) (0)
- Wrapping up: hypermodels, dynamic priorconditioners and Bayesian learning (2007) (0)
- Energy Demand and Metabolite Partitioning in Spatially Lumped and Distributed Models of Neuron-Astrocyte Complex (2014) (0)
- Variability of the hip load in sub-optimal neuromotor control conditions during gait (2011) (0)
- Modeling surface pH measurements of oocytes (2022) (0)
- Modeling HIV-1 Dynamics and Fitness in Cell Culture Across Scales (2014) (0)
- A statistical methodology for computational models of hepatic metabolism and sensitivity analysis (2009) (0)
- FAST I NVERSION O F V ANDERMONDE-LIKE M ATRICES INVOLVING O RTHOGONAL P OLYNOMIALS~: (1993) (0)
- Brain Energy Metabolism (2018) (0)
- Metabolism plays a central role in the cortical spreading depression: evidence from a mathematical model. (2019) (0)
- On the Fast Track: Rapid construction of stellar stream paths (2022) (0)
- Bayesian hierarchical dictionary learning (2022) (0)
- In silico study of lactate metabolism in brain during visual stimulation (2009) (0)
- A Spatially Distributed Model of Brain Metabolism Highlights the Role of Diffusion in Brain Energy Metabolism (2022) (0)
- More applications of the Gaussian conditioning (2007) (0)
- Multiscale multiphysiology predictive models of brain (2021) (0)
- Post-pandemic modeling of COVID-19: Waning immunity determines recurrence frequency (2023) (0)
- The IAS-MEEG Package: A Flexible Inverse Source Reconstruction Platform for Reconstruction and Visualization of Brain Activity from M/EEG Data (2022) (0)
- Computationally efficient sampling methods for sparsity promoting hierarchical Bayesian models (2023) (0)
- A measure of similarity between optimal and suboptimal muscle force production in gait (2016) (0)
- Conditional Gaussian densities and predictive envelopes (2007) (0)
- Basic problem of statistical inference (2007) (0)
- The praise of ignorance: randomness as lack of information (2007) (0)
- Inverse problems and subjective computing (2007) (0)
- A Reaction‐Diffusion Model of Acid‐Base Balance in a Xenopus Oocyte (2011) (0)
- Sampling: first encounter (2007) (0)
- Uncertainty quantification in flux balance analysis of spatially lumped and distributed models of neuron–astrocyte metabolism (2016) (0)
- Contemporary Mathematics Partial Eigenvalue Assignment for Large Linear Control Systems (2007) (0)
- A numerical method for eigenvalue problems in modeling liquid crystals (1996) (0)
- Beyond the Model Limit: Parameter Inference Across Scales (2017) (0)
- Committees Scientific Committee Organizing Committee Plenary Speakers Schedule Schedule Schedule Xylar Asay-davis Schedule Room: Cbc C116 Mini-symposium 4 Advances in Analytical and Computational Techniques for Nonlinear Waves Organizer: Room: Cbc C118 Mini-symposium 9 Uncertainty Quantification for (0)
- Statistically inspired preconditioners (2007) (0)
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