Optimal low-rank posterior covariance approximation in linear Gaussian inverse problems on Hilbert spaces
Fuente:
arXiv
Saved in:
| Main Authors: | Carere, Giuseppe, Lie, Han Cheng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal low-rank approximations for linear Gaussian inverse problems on Hilbert spaces, Part I: posterior covariance approximation
by: Carere, Giuseppe, et al.
Published: (2025)
by: Carere, Giuseppe, et al.
Published: (2025)
Optimal low-rank posterior mean and distribution approximation in linear Gaussian inverse problems on Hilbert spaces
by: Carere, Giuseppe, et al.
Published: (2025)
by: Carere, Giuseppe, et al.
Published: (2025)
Upper and lower bounds for local Lipschitz stability of Bayesian posteriors
by: Cvetković, Nada, et al.
Published: (2025)
by: Cvetković, Nada, et al.
Published: (2025)
Linear methods for non-linear inverse problems
by: Koers, Geerten, et al.
Published: (2024)
by: Koers, Geerten, et al.
Published: (2024)
Generalised Rank-Constrained Approximations of Hilbert-Schmidt Operators on Separable Hilbert Spaces and Applications
by: Carere, Giuseppe, et al.
Published: (2024)
by: Carere, Giuseppe, et al.
Published: (2024)
Strong maximum a posteriori estimation in Banach spaces with Gaussian priors
by: Lambley, Hefin
Published: (2023)
by: Lambley, Hefin
Published: (2023)
Conditioning of Banach Space Valued Gaussian Random Variables: An Approximation Approach Based on Martingales
by: Steinwart, Ingo
Published: (2024)
by: Steinwart, Ingo
Published: (2024)
Cluster size distributions of discrete random fields
by: Cheng, Dan, et al.
Published: (2026)
by: Cheng, Dan, et al.
Published: (2026)
Choosing observation operators to mitigate model error in Bayesian inverse problems
by: Cvetković, Nada, et al.
Published: (2023)
by: Cvetković, Nada, et al.
Published: (2023)
Vecchia Gaussian Processes: on probabilistic and statistical properties
by: Szabo, Botond, et al.
Published: (2024)
by: Szabo, Botond, et al.
Published: (2024)
A Gaussian process and linear-based framework for computing cut distributions in modular Bayesian calibration of two chained computer models
by: Baldé, Oumar, et al.
Published: (2023)
by: Baldé, Oumar, et al.
Published: (2023)
Detecting practically significant dependencies in metric spaces via distance correlations
by: Dette, Holger, et al.
Published: (2024)
by: Dette, Holger, et al.
Published: (2024)
Minimax spectral estimation of weighted Laplace operators
by: Chaubet, Yann, et al.
Published: (2025)
by: Chaubet, Yann, et al.
Published: (2025)
Normal approximations for the multivariate inverse Gaussian distribution and asymmetric kernel smoothing on $d$-dimensional half-spaces
by: Belzile, Léo R., et al.
Published: (2022)
by: Belzile, Léo R., et al.
Published: (2022)
A Bayesian sequential soft classification problem for a Brownian motion's drift
by: Campbell, Steven, et al.
Published: (2025)
by: Campbell, Steven, et al.
Published: (2025)
Uniform Confidence Band for Optimal Transport Map on One-Dimensional Data
by: Ponnoprat, Donlapark, et al.
Published: (2023)
by: Ponnoprat, Donlapark, et al.
Published: (2023)
Convergence Rates for Realizations of Gaussian Random Variables
by: Winkle, Daniel, et al.
Published: (2025)
by: Winkle, Daniel, et al.
Published: (2025)
Subordinated Wright-Fisher Priors
by: Judd, Nathan A., et al.
Published: (2026)
by: Judd, Nathan A., et al.
Published: (2026)
Large dimensional Spearman's rank correlation matrices: The central limit theorem and its applications
by: Chen, Hantao, et al.
Published: (2024)
by: Chen, Hantao, et al.
Published: (2024)
Bayes with No Shame: Admissibility Geometries of Predictive Inference
by: Polson, Nicholas G., et al.
Published: (2026)
by: Polson, Nicholas G., et al.
Published: (2026)
Inequalities and bounds for expected order statistics from transform-ordered families
by: Arab, Tommaso Lando Idir, et al.
Published: (2024)
by: Arab, Tommaso Lando Idir, et al.
Published: (2024)
Computationally efficient multi-level Gaussian process regression for functional data observed under completely or partially regular sampling designs
by: Hoffmann, Adam Gorm, et al.
Published: (2024)
by: Hoffmann, Adam Gorm, et al.
Published: (2024)
Adaptive Gaussian Process Regression for Bayesian inverse problems
by: Villani, Paolo, et al.
Published: (2024)
by: Villani, Paolo, et al.
Published: (2024)
Spectral Bayesian Regression on the Sphere
by: Durastanti, Claudio
Published: (2026)
by: Durastanti, Claudio
Published: (2026)
Maximum likelihood estimation of mean functions for Gaussian processes under small noise asymptotics
by: Kobayashi, Mitsuki, et al.
Published: (2025)
by: Kobayashi, Mitsuki, et al.
Published: (2025)
Sobol' Matrices For Multi-Output Models With Quantified Uncertainty
by: Milton, Robert A., et al.
Published: (2025)
by: Milton, Robert A., et al.
Published: (2025)
Nonparametric Inference for Noise Covariance Kernels in Parabolic SPDEs using Space-Time Infill-Asymptotics
by: Petersson, Andreas, et al.
Published: (2025)
by: Petersson, Andreas, et al.
Published: (2025)
Asymptotic equivalence of non-parametric regression with spherical regressors and Gaussian white noise
by: Kroll, Martin
Published: (2025)
by: Kroll, Martin
Published: (2025)
Maximum a posteriori testing in statistical inverse problems
by: Kretschmann, Remo, et al.
Published: (2024)
by: Kretschmann, Remo, et al.
Published: (2024)
Bayesian inference of covariate-parameter relationships for population modelling
by: Lie, Han Cheng
Published: (2024)
by: Lie, Han Cheng
Published: (2024)
Nonparametric Bayesian estimation in a multidimensional diffusion model with high frequency data
by: Hoffmann, Marc, et al.
Published: (2022)
by: Hoffmann, Marc, et al.
Published: (2022)
M-estimation for Gaussian processes with time-inhomogeneous drifts from high-frequency data
by: Shimizu, Yasutaka
Published: (2025)
by: Shimizu, Yasutaka
Published: (2025)
Efficient Concentration with Gaussian Approximation
by: Austern, Morgane, et al.
Published: (2022)
by: Austern, Morgane, et al.
Published: (2022)
From robust tests to Bayes-like posterior distributions
by: Baraud, Yannick
Published: (2021)
by: Baraud, Yannick
Published: (2021)
Likelihood Ratio Tests by Kernel Gaussian Embedding
by: Santoro, Leonardo V., et al.
Published: (2025)
by: Santoro, Leonardo V., et al.
Published: (2025)
On deviation probabilities in non-parametric regression with heavy-tailed noise
by: Ben-Hamou, Anna, et al.
Published: (2023)
by: Ben-Hamou, Anna, et al.
Published: (2023)
Posterior contraction under misspecification and heteroscedasticity in non-linear inverse problems
by: Seizilles, Fanny, et al.
Published: (2026)
by: Seizilles, Fanny, et al.
Published: (2026)
Asymptotic properties of parameter estimators in Vasicek model driven by tempered fractional Brownian motion
by: Mishura, Yuliya, et al.
Published: (2024)
by: Mishura, Yuliya, et al.
Published: (2024)
Symmetrisation of a class of two-sample tests by mutually considering depth ranks including functional spaces
by: Gnettner, Felix, et al.
Published: (2023)
by: Gnettner, Felix, et al.
Published: (2023)
On hypoellipticity of degenerate operators in testing and detection problems
by: Bayraktar, Erhan, et al.
Published: (2025)
by: Bayraktar, Erhan, et al.
Published: (2025)
Similar Items
-
Optimal low-rank approximations for linear Gaussian inverse problems on Hilbert spaces, Part I: posterior covariance approximation
by: Carere, Giuseppe, et al.
Published: (2025) -
Optimal low-rank posterior mean and distribution approximation in linear Gaussian inverse problems on Hilbert spaces
by: Carere, Giuseppe, et al.
Published: (2025) -
Upper and lower bounds for local Lipschitz stability of Bayesian posteriors
by: Cvetković, Nada, et al.
Published: (2025) -
Linear methods for non-linear inverse problems
by: Koers, Geerten, et al.
Published: (2024) -
Generalised Rank-Constrained Approximations of Hilbert-Schmidt Operators on Separable Hilbert Spaces and Applications
by: Carere, Giuseppe, et al.
Published: (2024)