Saved in:
| Main Authors: | Stanley, Michael, Coons, Thomas, Bomarito, Geoffrey, Leser, Patrick, Pribe, Joshua, Warner, James |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.23016 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Latent Generative Modeling of Random Fields from Limited Training Data
by: Warner, James E., et al.
Published: (2025)
by: Warner, James E., et al.
Published: (2025)
Covariance Expressions for Multi-Fidelity Sampling with Multi-Output, Multi-Statistic Estimators: Application to Approximate Control Variates
by: Dixon, Thomas O., et al.
Published: (2023)
by: Dixon, Thomas O., et al.
Published: (2023)
Bayesian Symbolic Regression via Posterior Sampling
by: Bomarito, Geoffrey F., et al.
Published: (2025)
by: Bomarito, Geoffrey F., et al.
Published: (2025)
Bayesian Covariance Uncertainty for Adaptive Pilot-Sampling Termination in Multi-fidelity Uncertainty Quantification
by: Coons, Thomas E., et al.
Published: (2025)
by: Coons, Thomas E., et al.
Published: (2025)
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)
Parametric multi-fidelity Monte Carlo estimation with applications to extremes
by: Kim, Minji, et al.
Published: (2024)
by: Kim, Minji, et al.
Published: (2024)
Propensity weighting plus adjustment in proportional hazards model is not doubly robust
by: Gabriel, Erin E, et al.
Published: (2023)
by: Gabriel, Erin E, et al.
Published: (2023)
Knots and variance ordering of sequential Monte Carlo algorithms
by: Bon, Joshua J, et al.
Published: (2025)
by: Bon, Joshua J, et al.
Published: (2025)
Accelerating sequential Monte Carlo with surrogate likelihoods
by: Bon, Joshua J, et al.
Published: (2020)
by: Bon, Joshua J, et al.
Published: (2020)
Improving sampling efficacy on high dimensional distributions with thin high density regions using Conservative Hamiltonian Monte Carlo
by: McGregor, Geoffrey, et al.
Published: (2022)
by: McGregor, Geoffrey, et al.
Published: (2022)
Bond strength uncertainty quantification via confidence intervals for nondestructive evaluation of bonded composites
by: Stanley, Michael C., et al.
Published: (2025)
by: Stanley, Michael C., et al.
Published: (2025)
Sampling low-fidelity outputs for estimation of high-fidelity density and its tails
by: Kim, Minji, et al.
Published: (2024)
by: Kim, Minji, et al.
Published: (2024)
Probabilistic calibration of crystal plasticity material models with synthetic global and local data
by: Pribe, Joshua D., et al.
Published: (2026)
by: Pribe, Joshua D., et al.
Published: (2026)
MCBench: A Benchmark Suite for Monte Carlo Sampling Algorithms
by: Ding, Zeyu, et al.
Published: (2025)
by: Ding, Zeyu, et al.
Published: (2025)
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms
by: Lau, Tim Tsz-Kit, et al.
Published: (2023)
by: Lau, Tim Tsz-Kit, et al.
Published: (2023)
Multilevel Metamodels: Enhancing Inference, Interpretability, and Generalizability in Monte Carlo Simulation Studies
by: Gilbert, Joshua, et al.
Published: (2024)
by: Gilbert, Joshua, et al.
Published: (2024)
Propensity score adjustment when errors in achievement measures inform treatment assignment
by: Wasserman, Joshua, et al.
Published: (2025)
by: Wasserman, Joshua, et al.
Published: (2025)
On the fundamental limitations of multiproposal Markov chain Monte Carlo algorithms
by: Pozza, Francesco, et al.
Published: (2024)
by: Pozza, Francesco, et al.
Published: (2024)
Efficient Online Variational Estimation via Monte Carlo Sampling
by: Chagneux, Mathis, et al.
Published: (2026)
by: Chagneux, Mathis, et al.
Published: (2026)
Inverse sampling intensity weighting for preferential sampling adjustment
by: Hsiao, Thomas W., et al.
Published: (2025)
by: Hsiao, Thomas W., et al.
Published: (2025)
Tail-robust estimation of factor-adjusted vector autoregressive models for high-dimensional time series
by: Dijk, Dylan, et al.
Published: (2025)
by: Dijk, Dylan, et al.
Published: (2025)
Markov Chain Monte Carlo Significance Tests
by: Howes, Michael
Published: (2023)
by: Howes, Michael
Published: (2023)
Sequential Monte Carlo for Cut-Bayesian Posterior Computation
by: Mathews, Joseph, et al.
Published: (2024)
by: Mathews, Joseph, et al.
Published: (2024)
Sequential Monte-Carlo testing by betting
by: Fischer, Lasse, et al.
Published: (2024)
by: Fischer, Lasse, et al.
Published: (2024)
Penalized mixed models to adjust for batch effects and unobserved confounding in high dimensional regression
by: Lu, Yujing, et al.
Published: (2025)
by: Lu, Yujing, et al.
Published: (2025)
Monte Carlo and quasi-Monte Carlo integration for likelihood functions
by: Tang, Yanbo
Published: (2025)
by: Tang, Yanbo
Published: (2025)
Modular Markov chain Monte Carlo with application to multimodal sampling
by: Park, Joonha
Published: (2026)
by: Park, Joonha
Published: (2026)
Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs?
by: Luu, Son, et al.
Published: (2024)
by: Luu, Son, et al.
Published: (2024)
Entropic Mirror Monte Carlo
by: Cherradi, Anas, et al.
Published: (2026)
by: Cherradi, Anas, et al.
Published: (2026)
Asymptotic inference with flexible covariate adjustment under rerandomization and stratified rerandomization
by: Wang, Bingkai, et al.
Published: (2024)
by: Wang, Bingkai, et al.
Published: (2024)
Automated Model Tuning for Multifidelity Uncertainty Propagation in Trajectory Simulation
by: Warner, James E., et al.
Published: (2025)
by: Warner, James E., et al.
Published: (2025)
Variance estimation for Sequential Monte Carlo Algorithms: a backward sampling approach
by: idrissi, Yazid Janati El, et al.
Published: (2022)
by: idrissi, Yazid Janati El, et al.
Published: (2022)
Semiparametric rank-based regression models as robust alternatives to parametric mean-based counterparts for censored responses under detection-limit
by: Xu, Y., et al.
Published: (2025)
by: Xu, Y., et al.
Published: (2025)
Monte Carlo Integration in Simple and Complex Simulation Designs
by: Naimi, Ashley I., et al.
Published: (2024)
by: Naimi, Ashley I., et al.
Published: (2024)
Multilevel Monte Carlo Metamodeling for Variance Function Estimation
by: Zhang, Jingtao, et al.
Published: (2025)
by: Zhang, Jingtao, et al.
Published: (2025)
Online Semiparametric Regression via Sequential Monte Carlo
by: Menictas, Marianne, et al.
Published: (2023)
by: Menictas, Marianne, et al.
Published: (2023)
With random regressors, least squares inference is robust to correlated errors with unknown correlation structure
by: Zhang, Zifeng, et al.
Published: (2024)
by: Zhang, Zifeng, et al.
Published: (2024)
Identification-aware Markov chain Monte Carlo
by: Kitagawa, Toru, et al.
Published: (2025)
by: Kitagawa, Toru, et al.
Published: (2025)
Covariate-adjusted Group Sequential Comparisons of Survival Probabilities
by: Zhang, Peter, et al.
Published: (2024)
by: Zhang, Peter, et al.
Published: (2024)
Covariate-adjusted win statistics in randomized clinical trials with ordinal outcomes
by: Cao, Zhiqiang, et al.
Published: (2025)
by: Cao, Zhiqiang, et al.
Published: (2025)
Similar Items
-
Latent Generative Modeling of Random Fields from Limited Training Data
by: Warner, James E., et al.
Published: (2025) -
Covariance Expressions for Multi-Fidelity Sampling with Multi-Output, Multi-Statistic Estimators: Application to Approximate Control Variates
by: Dixon, Thomas O., et al.
Published: (2023) -
Bayesian Symbolic Regression via Posterior Sampling
by: Bomarito, Geoffrey F., et al.
Published: (2025) -
Bayesian Covariance Uncertainty for Adaptive Pilot-Sampling Termination in Multi-fidelity Uncertainty Quantification
by: Coons, Thomas E., et al.
Published: (2025) -
A Multi-fidelity Estimator of the Expected Information Gain for Bayesian Optimal Experimental Design
by: Coons, Thomas E., et al.
Published: (2025)