- Mikkel Bue Lykkegaard, Tim J. Dodwell, Colin Fox, G. Mingas, Robert Scheichl:
Multilevel Delayed Acceptance MCMC. SIAM/ASA J. Uncertain. Quantification 11(1): 1-30 (2023) - Juan P. Madrigal-Cianci, Fabio Nobile, Raúl Tempone:
Analysis of a Class of Multilevel Markov Chain Monte Carlo Algorithms Based on Independent Metropolis-Hastings. SIAM/ASA J. Uncertain. Quantification 11(1): 91-138 (2023) - Johannes Milz:
Reliable Error Estimates for Optimal Control of Linear Elliptic PDEs with Random Inputs. SIAM/ASA J. Uncertain. Quantification 11(4): 1139-1163 (2023) - Yanni Papandreou, Jon Cockayne, Mark Girolami, Andrew B. Duncan:
Theoretical Guarantees for the Statistical Finite Element Method. SIAM/ASA J. Uncertain. Quantification 11(4): 1278-1307 (2023) - Prerna Patil, Hessam Babaee:
Reduced-Order Modeling with Time-Dependent Bases for PDEs with Stochastic Boundary Conditions. SIAM/ASA J. Uncertain. Quantification 11(3): 727-756 (2023) - Sébastien Petit, Julien Bect, Paul Feliot, Emmanuel Vázquez:
Parameter Selection in Gaussian Process Interpolation: An Empirical Study of Selection Criteria. SIAM/ASA J. Uncertain. Quantification 11(4): 1308-1328 (2023) - Nathaniel Pritchard, Vivak Patel:
Towards Practical Large-Scale Randomized Iterative Least Squares Solvers through Uncertainty Quantification. SIAM/ASA J. Uncertain. Quantification 11(3): 996-1024 (2023) - Claudia Schillings, Claudia Totzeck, Philipp Wacker:
Ensemble-Based Gradient Inference for Particle Methods in Optimization and Sampling. SIAM/ASA J. Uncertain. Quantification 11(3): 757-787 (2023) - Christoph Schwab, Jakob Zech:
Deep Learning in High Dimension: Neural Network Expression Rates for Analytic Functions in \(\pmb{L2(\mathbb{R}d,\gamma_d)}\). SIAM/ASA J. Uncertain. Quantification 11(1): 199-234 (2023) - Euan A. Spence, Jared Wunsch:
Wavenumber-Explicit Parametric Holomorphy of Helmholtz Solutions in the Context of Uncertainty Quantification. SIAM/ASA J. Uncertain. Quantification 11(2): 567-590 (2023) - Elaine T. Spiller, Robert L. Wolpert, Pablo Tierz, Taylor G. Asher:
The Zero Problem: Gaussian Process Emulators for Range-Constrained Computer Models. SIAM/ASA J. Uncertain. Quantification 11(2): 540-566 (2023) - Vladimir G. Spokoiny:
Dimension Free Nonasymptotic Bounds on the Accuracy of High-Dimensional Laplace Approximation. SIAM/ASA J. Uncertain. Quantification 11(3): 1044-1068 (2023) - Shanyin Tong, Georg Stadler:
Large Deviation Theory-based Adaptive Importance Sampling for Rare Events in High Dimensions. SIAM/ASA J. Uncertain. Quantification 11(3): 788-813 (2023) - Cédric Travelletti, David Ginsbourger, Niklas Linde:
Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors. SIAM/ASA J. Uncertain. Quantification 11(1): 168-198 (2023) - Keyi Wu, Peng Chen, Omar Ghattas:
A Fast and Scalable Computational Framework for Large-Scale High-Dimensional Bayesian Optimal Experimental Design. SIAM/ASA J. Uncertain. Quantification 11(1): 235-261 (2023) - Suraj Yerramilli, Akshay Iyer, Wei Chen, Daniel W. Apley:
Fully Bayesian Inference for Latent Variable Gaussian Process Models. SIAM/ASA J. Uncertain. Quantification 11(4): 1357-1381 (2023)