Nonparametric Prior Learning in Differential Equation Modeling
Fuente:
arXiv
Guardado en:
| Autores principales: | Jia, Junxiong, Meng, Deyu, Xu, Zongben, Yao, Fang |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Consistency of Variational Inference for Nonlinear Inverse Problems of Partial Differential Equations
por: Zu, Shaokang, et al.
Publicado: (2024)
por: Zu, Shaokang, et al.
Publicado: (2024)
Sequential Monte Carlo with Gaussian Mixture Approximation for Infinite-Dimensional Statistical Inverse Problems
por: Lu, Haoyu, et al.
Publicado: (2025)
por: Lu, Haoyu, et al.
Publicado: (2025)
Consistency of variational inference for Besov priors in non-linear inverse problems
por: Zu, Shaokang, et al.
Publicado: (2025)
por: Zu, Shaokang, et al.
Publicado: (2025)
Stein variational gradient descent on infinite-dimensional space and applications to statistical inverse problems
por: Jia, Junxiong, et al.
Publicado: (2021)
por: Jia, Junxiong, et al.
Publicado: (2021)
Quasi-Monte Carlo and importance sampling methods for Bayesian inverse problems
por: He, Zhijian, et al.
Publicado: (2024)
por: He, Zhijian, et al.
Publicado: (2024)
Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations
por: Sommer, David, et al.
Publicado: (2024)
por: Sommer, David, et al.
Publicado: (2024)
Wavenumber-Explicit Well-Posedness of Bayesian Shape Inversion in Acoustic Scattering
por: Kuijpers, Safiere, et al.
Publicado: (2024)
por: Kuijpers, Safiere, et al.
Publicado: (2024)
Adaptive Gaussian Process Regression for Bayesian inverse problems
por: Villani, Paolo, et al.
Publicado: (2024)
por: Villani, Paolo, et al.
Publicado: (2024)
Posterior contraction rates of computational methods for Bayesian data assimilation
por: Burman, Erik, et al.
Publicado: (2025)
por: Burman, Erik, et al.
Publicado: (2025)
Non-centered parametric variational Bayes' approach for hierarchical inverse problems of partial differential equations
por: Sui, Jiaming, et al.
Publicado: (2022)
por: Sui, Jiaming, et al.
Publicado: (2022)
Functional normalizing flow for statistical inverse problems of partial differential equations
por: Zhao, Yang, et al.
Publicado: (2024)
por: Zhao, Yang, et al.
Publicado: (2024)
Quasi-Monte Carlo for Bayesian design of experiment problems governed by parametric PDEs
por: Kaarnioja, Vesa, et al.
Publicado: (2024)
por: Kaarnioja, Vesa, et al.
Publicado: (2024)
Parameter Estimation in Nonlinear Multivariate Stochastic Differential Equations Based on Splitting Schemes
por: Pilipovic, Predrag, et al.
Publicado: (2022)
por: Pilipovic, Predrag, et al.
Publicado: (2022)
Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations
por: Jia, Junxiong, et al.
Publicado: (2022)
por: Jia, Junxiong, et al.
Publicado: (2022)
Multigrid Monte Carlo Revisited: Theory and Bayesian Inference
por: Kazashi, Yoshihito, et al.
Publicado: (2024)
por: Kazashi, Yoshihito, et al.
Publicado: (2024)
Estimation of the Coefficient of Variation of Weibull Distribution under Type-I Progressively Interval Censoring: A Simulation-based Approach
por: Nongrum, Bankitdor M, et al.
Publicado: (2025)
por: Nongrum, Bankitdor M, et al.
Publicado: (2025)
Frequentist Coverage of Bayes Posteriors in Nonlinear Inverse Problems with Gaussian Priors
por: Baek, Youngsoo, et al.
Publicado: (2024)
por: Baek, Youngsoo, et al.
Publicado: (2024)
Leveraging viscous Hamilton-Jacobi PDEs for uncertainty quantification in scientific machine learning
por: Zou, Zongren, et al.
Publicado: (2024)
por: Zou, Zongren, et al.
Publicado: (2024)
Ergodic Estimation and Model Assessment for Dynamic Exceedance Times
por: Sande, Åsmund Hausken
Publicado: (2024)
por: Sande, Åsmund Hausken
Publicado: (2024)
Bayesian prediction regions and density estimation with type-2 censored data
por: Asgharzadeh, Akbar, et al.
Publicado: (2024)
por: Asgharzadeh, Akbar, et al.
Publicado: (2024)
Tractable Optimal Experimental Design using Transport Maps
por: Koval, Karina, et al.
Publicado: (2024)
por: Koval, Karina, et al.
Publicado: (2024)
Adaptive Gaussian Process Regression for Efficient Building of Surrogate Models in Inverse Problems
por: Semler, Phillip, et al.
Publicado: (2023)
por: Semler, Phillip, et al.
Publicado: (2023)
The Bayesian Finite Element Method in Inverse Problems: a Critical Comparison between Probabilistic Models for Discretization Error
por: Poot, Anne, et al.
Publicado: (2025)
por: Poot, Anne, et al.
Publicado: (2025)
Bayesian parameter identification in impedance boundary conditions for Helmholtz problems
por: Wulbusch, Nick, et al.
Publicado: (2023)
por: Wulbusch, Nick, et al.
Publicado: (2023)
On micromodes in Bayesian posterior distributions and their implications for MCMC
por: Agrawal, Sanket, et al.
Publicado: (2026)
por: Agrawal, Sanket, et al.
Publicado: (2026)
A Scalable Sequential Framework for Dynamic Inverse Problems via Model Parameter Estimation
por: Keating, Aryeh, et al.
Publicado: (2026)
por: Keating, Aryeh, et al.
Publicado: (2026)
Two-Step Mixed-Type Multivariate Bayesian Sparse Variable Selection with Shrinkage Priors
por: Wang, Shao-Hsuan, et al.
Publicado: (2022)
por: Wang, Shao-Hsuan, et al.
Publicado: (2022)
Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis
por: Chen, Qiao, et al.
Publicado: (2024)
por: Chen, Qiao, et al.
Publicado: (2024)
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization
por: Luo, Hengrui, et al.
Publicado: (2022)
por: Luo, Hengrui, et al.
Publicado: (2022)
Flexible Bayesian Multiple Comparison Adjustment Using Dirichlet Process and Beta-Binomial Model Priors
por: Bergh, Don van den, et al.
Publicado: (2022)
por: Bergh, Don van den, et al.
Publicado: (2022)
Nonparametric Bayesian Inference for Stochastic Reaction-Diffusion Equations
por: Altmeyer, Randolf, et al.
Publicado: (2025)
por: Altmeyer, Randolf, et al.
Publicado: (2025)
Blocked Gibbs Sampling for Improved Convergence in Finite Mixture Models
por: Swanson, David Michael
Publicado: (2024)
por: Swanson, David Michael
Publicado: (2024)
An Asymptotic Equation Linking WAIC and WBIC in Singular Models
por: Hayashi, Naoki, et al.
Publicado: (2025)
por: Hayashi, Naoki, et al.
Publicado: (2025)
On the Bayesian analysis of a non-identifiable Binomial model
por: Marchand, Éric
Publicado: (2026)
por: Marchand, Éric
Publicado: (2026)
Diffusion Graph Posterior Sampling for Nonlinear Inverse Problems with Application to Electrical Impedance Tomography
por: Alberti, Giovanni S., et al.
Publicado: (2026)
por: Alberti, Giovanni S., et al.
Publicado: (2026)
Parameter estimation for partially observed second-order diffusion processes
por: Albrecht, Jan, et al.
Publicado: (2024)
por: Albrecht, Jan, et al.
Publicado: (2024)
Misspecified Bernstein-Von Mises theorem for hierarchical models
por: Koers, Geerten, et al.
Publicado: (2023)
por: Koers, Geerten, et al.
Publicado: (2023)
Convergence Rates for Latent Mixing Measures in Infinite Homoscedastic Location-Scale Mixture Models
por: Bariletto, Nicola, et al.
Publicado: (2026)
por: Bariletto, Nicola, et al.
Publicado: (2026)
Amortized Variational Inference for Joint Posterior and Predictive Distributions in Bayesian Uncertainty Quantification
por: Feng, Nan, et al.
Publicado: (2026)
por: Feng, Nan, et al.
Publicado: (2026)
Nonparametric Bayesian estimation in a multidimensional diffusion model with high frequency data
por: Hoffmann, Marc, et al.
Publicado: (2022)
por: Hoffmann, Marc, et al.
Publicado: (2022)
Ejemplares similares
-
Consistency of Variational Inference for Nonlinear Inverse Problems of Partial Differential Equations
por: Zu, Shaokang, et al.
Publicado: (2024) -
Sequential Monte Carlo with Gaussian Mixture Approximation for Infinite-Dimensional Statistical Inverse Problems
por: Lu, Haoyu, et al.
Publicado: (2025) -
Consistency of variational inference for Besov priors in non-linear inverse problems
por: Zu, Shaokang, et al.
Publicado: (2025) -
Stein variational gradient descent on infinite-dimensional space and applications to statistical inverse problems
por: Jia, Junxiong, et al.
Publicado: (2021) -
Quasi-Monte Carlo and importance sampling methods for Bayesian inverse problems
por: He, Zhijian, et al.
Publicado: (2024)