Cover Image

Polynomial Chaos Surrogate Construction for Random Fields with Parametric Uncertainty

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mueller, Joy N., Sargsyan, Khachik, Daniels, Craig J., Najm, Habib N.
Format:	Preprint
Published:	2023
Subjects:	Methodology Computation Machine Learning 60G99, 65C20, 33C45, 62G07, 62J02
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Embedded Model Error Representation for Bayesian Model Calibration
by: Sargsyan, Khachik, et al.
Published: (2018)

Modeling Human Spatial Mobility Patterns with the Lévy Flight Cluster Model
by: Wolff, Malcolm, et al.
Published: (2025)

Asymptotic properties of the normalized discrete associated-kernel estimator for probability mass function
by: Esstafa, Youssef, et al.
Published: (2022)

Non-asymptotic analysis of the performance of the penalized least trimmed squares in sparse models
by: Zuo, Yijun
Published: (2025)

Variance-Reduced Manifold Sampling via Polynomial-Maximization Density Estimation
by: Zabolotnii, Serhii
Published: (2026)

Multiple combined gamma kernel estimations for nonnegative data with Bayesian adaptive bandwidths
by: Somé, Sobom M., et al.
Published: (2022)

Model Error Embedding with Orthogonal Gaussian Processes
by: Kuppa, Mridula, et al.
Published: (2026)

In almost all shallow analytic neural network optimization landscapes, efficient minimizers have strongly convex neighborhoods
by: Benning, Felix, et al.
Published: (2025)

Variable Selection for Additive Global Fréchet Regression
by: Yang, Haoyi, et al.
Published: (2025)

Maximum smoothed likelihood method for the combination of multiple diagnostic tests, with application to the ROC estimation
by: Zheng, Fangyong, et al.
Published: (2026)

Robust density estimation with the $\mathbb{L}_{1}$-loss. Applications to the estimation of a density on the line satisfying a shape constraint
by: Baraud, Y., et al.
Published: (2022)

Sobol' Matrices For Multi-Output Models With Quantified Uncertainty
by: Milton, Robert A., et al.
Published: (2025)

The Cost of Adaptation under Differential Privacy: Optimal Adaptive Federated Density Estimation
by: Cai, T. Tony, et al.
Published: (2025)

Bayesian taut splines for estimating the number of modes
by: Chacón, José E., et al.
Published: (2023)

A new adaptive local polynomial density estimation procedure on complicated domains
by: Bertin, Karine, et al.
Published: (2023)

Lower Bounds on Information Requirements for Causal Network Inference
by: Kang, Xiaohan, et al.
Published: (2021)

Maximum Likelihood Estimation of Optimal Receiver Operating Characteristic Curves from Likelihood Ratio Observations
by: Hajek, Bruce, et al.
Published: (2022)

Proper Correlation Coefficients for Nominal Random Variables
by: Wermuth, Jan-Lukas
Published: (2025)

Bayesian--AI Fusion for Epidemiological Decision Making: Calibrated Risk, Honest Uncertainty, and Hyperparameter Intelligence
by: Chatterjee, Debashis
Published: (2025)

TwinKernel Estimation for Point Process Intensity Functions: Adaptive Nonparametric Methods via Orbital Regularity
by: Nembé, Jocelyn
Published: (2025)

Error Bounds for Importance Sampling with Estimated Proposal Distributions
by: Aeckerle-Willems, Cathrine, et al.
Published: (2026)

Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis
by: Anderberg, Alastair, et al.
Published: (2024)

Entropy-Regularized Inference: A Predictive Approach
by: Polson, Nicholas G., et al.
Published: (2025)

Martingale Posterior Predictive Coherence: Hausdorff Moment Hierarchy
by: Polson, Nicholas G., et al.
Published: (2026)

Nonparametric Regression for Random Unbiased Perturbations
by: Lyubarskaja, Anna, et al.
Published: (2025)

Generalized Functional ANOVA in Closed-Form: A Unified View of Additive Explanations
by: Ferrere, Baptiste, et al.
Published: (2026)

Methods for Quantifying Dataset Similarity: a Review, Taxonomy and Comparison
by: Stolte, Marieke, et al.
Published: (2023)

Bayesian Generalized Nonlinear Models Offer Basis Free SINDy With Model Uncertainty
by: Hubin, Aliaksandr
Published: (2025)

On the super-efficiency and robustness of the least squares of depth-trimmed regression estimator
by: Zuo, Yijun, et al.
Published: (2025)

Conditional Density Estimation, Latent Variable Discovery and Optimal Transport
by: Yang, Hongkang, et al.
Published: (2019)

Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on finite spaces: A statistical perspective
by: Hundrieser, Shayan, et al.
Published: (2022)

Nonparametric estimation of a factorizable density using diffusion models
by: Kwon, Hyeok Kyu, et al.
Published: (2025)

Adaptive Density Estimation Using Projection Kernels and Penalized Comparison to Overfitting
by: Hoang, Van Ha, et al.
Published: (2025)

Enhancing Visual Interpretability and Explainability in Functional Survival Trees and Forests
by: Loffredo, Giuseppe, et al.
Published: (2025)

Designing truncated priors for direct and inverse Bayesian problems
by: Agapiou, Sergios, et al.
Published: (2021)

Model-free filtering in high dimensions via projection and score-based diffusions
by: Christensen, Sören, et al.
Published: (2025)

Forecasting Elections from Partial Information Using a Bayesian Model for a Multinomial Sequence of Data
by: Deb, Soudeep, et al.
Published: (2021)

Quantile-respectful density estimation based on the Harrell-Davis quantile estimator
by: Akinshin, Andrey
Published: (2024)

Deconvolution of distribution functions without integral transforms
by: Kaiser, Henrik
Published: (2025)

Convergence rates of non-stationary and deep Gaussian process regression
by: Osborne, Conor, et al.
Published: (2023)