Imagen de Portada

Maximum Entropy Least Squares Solutions of Overdetermined Linear Systems

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Iavernaro, Felice, Lazzo, Monica, Pisani, Lorenzo
Formato:	Preprint
Publicado:	2026
Materias:	Numerical Analysis Information Theory Statistics Theory 65F20, 65D10, 94A17, 62F35, 26B10
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Convergence Analysis of regularised Nyström method for Functional Linear Regression
por: Gupta, Naveen, et al.
Publicado: (2024)

On Naive Mean-Field Approximation for high-dimensional canonical GLMs
por: Mukherjee, Sumit, et al.
Publicado: (2024)

On identification in ill-posed linear regression
por: Finocchio, Gianluca, et al.
Publicado: (2025)

Maximum a posteriori testing in statistical inverse problems
por: Kretschmann, Remo, et al.
Publicado: (2024)

Early stopping for conjugate gradients in statistical inverse problems
por: Hucker, Laura, et al.
Publicado: (2024)

Parameter estimation for partially observed second-order diffusion processes
por: Albrecht, Jan, et al.
Publicado: (2024)

Two-dimensional greedy randomized Kaczmarz methods for solving large-scale linear systems
por: Li, Tao, et al.
Publicado: (2025)

Two-dimensional greedy randomized extended Kaczmarz methods
por: Zhang, Xin-Fang, et al.
Publicado: (2025)

Generalized Fisher-Darmois-Koopman-Pitman Theorem and Rao-Blackwell Type Estimators for Power-Law Distributions
por: Gayen, Atin, et al.
Publicado: (2022)

Hierarchical Bayesian Inverse Problems: A High-Dimensional Statistics Viewpoint
por: Sanz-Alonso, Daniel, et al.
Publicado: (2024)

An entropy-based approach for a robust least squares spline approximation
por: Brugnano, Luigi, et al.
Publicado: (2023)

An Introduction to Solving the Least-Squares Problem in Variational Data Assimilation
por: Daužickaitė, I., et al.
Publicado: (2025)

On the use of the principle of maximum entropy to improve the robustness of bivariate spline least-squares approximation
por: Amodio, Pierluigi, et al.
Publicado: (2025)

Sequential Least-Squares Estimators with Fast Randomized Sketching for Linear Statistical Models
por: Chen, Guan-Yu, et al.
Publicado: (2025)

Estimating the Shannon Entropy Using the Pitman--Yor Process
por: Hashino, Takato, et al.
Publicado: (2026)

Optimal regularized hypothesis testing in statistical inverse problems
por: Kretschmann, Remo, et al.
Publicado: (2022)

E-Values, Bayes Risk, Dual Role of Markov's Inequality
por: Polson, Nicholas G., et al.
Publicado: (2026)

Hybrid LSMR algorithms for large-scale general-form regularization
por: Yang, Yanfei
Publicado: (2024)

Hybrid CGME and TCGME algorithms for large-scale general-form regularization
por: Yang, Yanfei
Publicado: (2023)

Convergence Properties of Nonlinear GMRES Applied to Linear Systems
por: Greif, Chen, et al.
Publicado: (2025)

Non trivial optimal sampling rate for estimating a Lipschitz-continuous function in presence of mean-reverting Ornstein-Uhlenbeck noise
por: Bernardi, Enrico, et al.
Publicado: (2024)

Mixed Precision FGMRES-Based Iterative Refinement for Weighted Least Squares
por: Carson, Erin, et al.
Publicado: (2024)

Numerical Instabilities in the Kaczmarz Method and Stabilization by Iterative Refinement
por: Dereziński, Michał, et al.
Publicado: (2026)

A Scalable Sequential Framework for Dynamic Inverse Problems via Model Parameter Estimation
por: Keating, Aryeh, et al.
Publicado: (2026)

Solving, Tracking and Stopping Streaming Linear Inverse Problems
por: Pritchard, Nathaniel, et al.
Publicado: (2022)

A Numerical Analysis of Sketched Linear Squares Problems and Stopping Criteria for Iterative Solvers
por: Jia, Zhongxiao, et al.
Publicado: (2026)

An extended latent factor framework for ill-posed linear regression
por: Finocchio, Gianluca, et al.
Publicado: (2023)

An ensemble Kalman approach to randomized maximum likelihood estimation
por: Stavrinides, Pavlos, et al.
Publicado: (2025)

The Condition Number in Phase Retrieval from Intensity Measurements
por: Peng, Haiyang, et al.
Publicado: (2025)

Algebraic Multigrid with Overlapping Schwarz Smoothers and Local Spectral Coarse Grids for Least Squares Problems
por: Southworth, Ben S., et al.
Publicado: (2026)

Quantile-RK and Double Quantile-RK Error Horizon Analysis
por: Battaglia, Emeric, et al.
Publicado: (2025)

Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems
por: Helin, Tapio, et al.
Publicado: (2020)

High-precision randomized iterative methods for the random feature method
por: Chen, Jingrun, et al.
Publicado: (2024)

Relaxed Greedy Randomized Kaczmarz with Signal Averaging for Solving Doubly-Noisy Linear Systems
por: Zhang, Lu, et al.
Publicado: (2026)

The Bayesian SIAC filter
por: Glaubitz, Jan, et al.
Publicado: (2025)

Subspace projection regularization for large-scale Bayesian linear inverse problems
por: Li, Haibo
Publicado: (2023)

Improved bounds for randomized Schatten norm estimation of numerically low-rank matrices
por: Chu, Ya-Chi, et al.
Publicado: (2024)

Efficient sampling approaches based on generalized Golub-Kahan methods for large-scale hierarchical Bayesian inverse problems
por: Buser, Elle, et al.
Publicado: (2025)

Complex-Valued Signal Recovery using the Bayesian LASSO
por: Green, Dylan, et al.
Publicado: (2024)

Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations
por: Bioli, Ivan, et al.
Publicado: (2024)