Bayesian Covariance Uncertainty for Adaptive Pilot-Sampling Termination in Multi-fidelity Uncertainty Quantification
Fuente:
arXiv
Saved in:
| Main Authors: | Coons, Thomas E., Jivani, Aniket, Huan, Xun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Multi-fidelity Estimator of the Expected Information Gain for Bayesian Optimal Experimental Design
by: Coons, Thomas E., et al.
Published: (2025)
by: Coons, Thomas E., et al.
Published: (2025)
Mean--Variance Risk-Aware Bayesian Optimal Experimental Design for Nonlinear Models
by: Shen, Wanggang, et al.
Published: (2026)
by: Shen, Wanggang, et al.
Published: (2026)
Surrogate-Based Bayesian Inference: Uncertainty Quantification and Active Learning
by: Roberts, Andrew Gerard, et al.
Published: (2026)
by: Roberts, Andrew Gerard, et al.
Published: (2026)
Inverse Probability Weighting: from Survey Sampling to Evidence Estimation
by: Datta, Jyotishka, et al.
Published: (2022)
by: Datta, Jyotishka, et al.
Published: (2022)
Mixture-Weighted Ensemble Kalman Filter with Quasi-Monte Carlo Transport
by: Klebanov, Ilja, et al.
Published: (2026)
by: Klebanov, Ilja, et al.
Published: (2026)
Quantile Importance Sampling
by: Datta, Jyotishka, et al.
Published: (2023)
by: Datta, Jyotishka, et al.
Published: (2023)
Semiparametric Uncertainty Quantification via Isotonized Posterior for Deconvolutions
by: Gili, Francesco, et al.
Published: (2026)
by: Gili, Francesco, et al.
Published: (2026)
Sample continuation in Bayesian hierarchical model via variational inference
by: Liu, Yucong, et al.
Published: (2026)
by: Liu, Yucong, et al.
Published: (2026)
Amortized Variational Inference for Joint Posterior and Predictive Distributions in Bayesian Uncertainty Quantification
by: Feng, Nan, et al.
Published: (2026)
by: Feng, Nan, et al.
Published: (2026)
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning
by: Shen, Wanggang, et al.
Published: (2021)
by: Shen, Wanggang, et al.
Published: (2021)
Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty
by: Kimchaiwong, Chatchuea, et al.
Published: (2024)
by: Kimchaiwong, Chatchuea, et al.
Published: (2024)
Large sample scaling analysis of the Zig-Zag algorithm for Bayesian inference
by: Agrawal, Sanket, et al.
Published: (2024)
by: Agrawal, Sanket, et al.
Published: (2024)
Bayesian Smoothed Quantile Regression
by: Liu, Bingqi, et al.
Published: (2025)
by: Liu, Bingqi, et al.
Published: (2025)
Uncertainty Quantification for Multi-level Models Using the Survey-Weighted Pseudo-Posterior
by: Williams, Matthew R., et al.
Published: (2025)
by: Williams, Matthew R., et al.
Published: (2025)
Uncertainty Quantification for Noisy Low-tubal-rank Tensor Completion
by: Shang, Jiuqian, et al.
Published: (2026)
by: Shang, Jiuqian, et al.
Published: (2026)
Functional Estimation of the Marginal Likelihood
by: Papaspiliopoulos, Omiros, et al.
Published: (2026)
by: Papaspiliopoulos, Omiros, et al.
Published: (2026)
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo
by: Zhong, Shijie, et al.
Published: (2024)
by: Zhong, Shijie, et al.
Published: (2024)
Goal oriented optimal design of infinite-dimensional Bayesian inverse problems using quadratic approximations
by: Neuberger, J. Nicholas, et al.
Published: (2024)
by: Neuberger, J. Nicholas, et al.
Published: (2024)
Bayesian--AI Fusion for Epidemiological Decision Making: Calibrated Risk, Honest Uncertainty, and Hyperparameter Intelligence
by: Chatterjee, Debashis
Published: (2025)
by: Chatterjee, Debashis
Published: (2025)
A procedure for multiple testing of partial conjunction hypotheses based on a hazard rate inequality
by: Dickhaus, Thorsten, et al.
Published: (2021)
by: Dickhaus, Thorsten, et al.
Published: (2021)
Adaptive Gaussian Process Regression for Bayesian inverse problems
by: Villani, Paolo, et al.
Published: (2024)
by: Villani, Paolo, et al.
Published: (2024)
Variational Sequential Optimal Experimental Design using Reinforcement Learning
by: Shen, Wanggang, et al.
Published: (2023)
by: Shen, Wanggang, et al.
Published: (2023)
Nonparametric Bayesian analysis for the Galton-Watson process
by: Cannas, Massimo, et al.
Published: (2025)
by: Cannas, Massimo, et al.
Published: (2025)
Branching Stein Variational Gradient Descent for sampling multimodal distributions
by: Bañales, Isaías, et al.
Published: (2025)
by: Bañales, Isaías, et al.
Published: (2025)
Robust variance estimators in application to segmentation of measurement data distorted by impulsive and non-Gaussian noise
by: Witulska, Justyna, et al.
Published: (2025)
by: Witulska, Justyna, et al.
Published: (2025)
Decision synthesis in monetary policy
by: Chernis, Tony, et al.
Published: (2024)
by: Chernis, Tony, et al.
Published: (2024)
Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty
by: Alexanderian, Alen, et al.
Published: (2022)
by: Alexanderian, Alen, et al.
Published: (2022)
Laplace Variational Inference for Bayesian Envelope Models
by: Kim, Seunghyeon, et al.
Published: (2026)
by: Kim, Seunghyeon, et al.
Published: (2026)
Taylor Approximation Variance Reduction for Approximation Errors in PDE-constrained Bayesian Inverse Problems
by: Nicholson, Ruanui, et al.
Published: (2025)
by: Nicholson, Ruanui, et al.
Published: (2025)
Wavenumber-Explicit Well-Posedness of Bayesian Shape Inversion in Acoustic Scattering
by: Kuijpers, Safiere, et al.
Published: (2024)
by: Kuijpers, Safiere, et al.
Published: (2024)
Hamiltonian Monte Carlo for (Physics) Dummies
by: Mukherjee, Arghya, et al.
Published: (2026)
by: Mukherjee, Arghya, et al.
Published: (2026)
Truncated, Censored, and Actuarial Payment-type Moments for Robust Fitting of a Single-parameter Pareto Distribution
by: Poudyal, Chudamani
Published: (2021)
by: Poudyal, Chudamani
Published: (2021)
Covariance-free Bi-fidelity Control Variates Importance Sampling for Rare Event Reliability Analysis
by: Chakroborty, Promit, et al.
Published: (2024)
by: Chakroborty, Promit, et al.
Published: (2024)
A copula-based rank histogram ensemble filter
by: Subrahmanya, Amit N., et al.
Published: (2025)
by: Subrahmanya, Amit N., et al.
Published: (2025)
On Robust Aggregation for Distributed Data
by: Li, Xian, et al.
Published: (2025)
by: Li, Xian, et al.
Published: (2025)
Bayesian Calibration and Uncertainty Quantification for a Large Nutrient Load Impact Model
by: Kaurila, Karel, et al.
Published: (2024)
by: Kaurila, Karel, et al.
Published: (2024)
Multilevel Markov Chain Monte Carlo with likelihood scaling for Bayesian inversion with high-resolution observations
by: Vanmechelen, Pieter, et al.
Published: (2024)
by: Vanmechelen, Pieter, et al.
Published: (2024)
Predictive Decision Synthesis for Portfolios: Betting on Better Models
by: Tallman, Emily, et al.
Published: (2024)
by: Tallman, Emily, et al.
Published: (2024)
Robust optimal design of large-scale Bayesian nonlinear inverse problems
by: Chowdhary, Abhijit, et al.
Published: (2024)
by: Chowdhary, Abhijit, et al.
Published: (2024)
On micromodes in Bayesian posterior distributions and their implications for MCMC
by: Agrawal, Sanket, et al.
Published: (2026)
by: Agrawal, Sanket, et al.
Published: (2026)
Similar Items
-
A Multi-fidelity Estimator of the Expected Information Gain for Bayesian Optimal Experimental Design
by: Coons, Thomas E., et al.
Published: (2025) -
Mean--Variance Risk-Aware Bayesian Optimal Experimental Design for Nonlinear Models
by: Shen, Wanggang, et al.
Published: (2026) -
Surrogate-Based Bayesian Inference: Uncertainty Quantification and Active Learning
by: Roberts, Andrew Gerard, et al.
Published: (2026) -
Inverse Probability Weighting: from Survey Sampling to Evidence Estimation
by: Datta, Jyotishka, et al.
Published: (2022) -
Mixture-Weighted Ensemble Kalman Filter with Quasi-Monte Carlo Transport
by: Klebanov, Ilja, et al.
Published: (2026)