Cover Image

A Note on the Output of a Coordinate-Exchange Algorithm for Optimal Experimental Design

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Strouwen, Arno, Goos, Peter
Format:	Preprint
Published:	2026
Subjects:	Methodology Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive and robust experimental design for linear dynamical models using Kalman filter
by: Strouwen, Arno, et al.
Published: (2026)

Deep Adaptive Model-Based Design of Experiments
by: Strouwen, Arno, et al.
Published: (2026)

Experimental Design for Missing Physics
by: Strouwen, Arno, et al.
Published: (2026)

A Randomized Exchange Algorithm for Optimal Design of Multi-Response Experiments
by: Somogyi, Pál, et al.
Published: (2024)

Pure Error REML for Analyzing Data from Multi-Stratum Designs
by: Gilmour, Steven G, et al.
Published: (2025)

Constructing Large Orthogonal Minimally Aliased Response Surface Designs by Concatenating Two Definitive Screening Designs
by: Vazquez, Alan R., et al.
Published: (2025)

fdesigns: Bayesian Optimal Designs of Experiments for Functional Models in R
by: Michaelides, Damianos, et al.
Published: (2024)

Constructing Bayesian Optimal Designs for Discrete Choice Experiments by Simulated Annealing
by: Mao, Yicheng, et al.
Published: (2024)

Optimal Exact Designs of Multiresponse Experiments under Linear and Sparsity Constraints
by: Filová, Lenka, et al.
Published: (2025)

Wasserstein Gradient Flows for Batch Bayesian Optimal Experimental Design
by: Sharrock, Louis
Published: (2026)

Bayesian Symbolic Regression for Missing Physics
by: Strouwen, Arno
Published: (2026)

A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental Design
by: Chakraborty, Atlanta, et al.
Published: (2024)

Optimal Experimental Design for Microplastics Sampling Experiments
by: Aquino-López, Marco A., et al.
Published: (2025)

Failure of Optimal Design Theory? A Case Study in Toxicology Using Sequential Robust Optimal Design Framework
by: Cui, Elvis Han, et al.
Published: (2025)

A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression
by: Kim, Sanghee, et al.
Published: (2025)

Optimal Stopping for Sequential Bayesian Experimental Design
by: Cheng, Chen, et al.
Published: (2025)

OMARS Designs for Factor Screening and Response Surface Experimentation in One Step: A Review
by: Peter Goos
Published: (2025)

Gaussian Approximation and Output Analysis for High-Dimensional MCMC
by: Pengel, Ardjen, et al.
Published: (2024)

Two-level D- and A-optimal designs of Ehlich type with run sizes three more than a multiple of four
by: Hameed, Mohammed Saif Ismail, et al.
Published: (2025)

Optimal Experimental Design Criteria for Data-Consistent Inversion
by: Butler, Troy, et al.
Published: (2025)

Two-level D- and A-optimal main-effects designs with run sizes one and two more than a multiple of four
by: Hameed, Mohammed Saif Ismail, et al.
Published: (2024)

Generalised Linear Mixed Model Specification, Analysis, Fitting, and Optimal Design in R with the glmmr Packages
by: Watson, Samuel I.
Published: (2023)

Summary Statistics of Large-scale Model Outputs for Observation-corrected Outputs
by: Chakraborty, Atlanta, et al.
Published: (2025)

Robust Simulation Based Inference Through Robust Optimal Transport
by: Jacobs, Peter Matthew, et al.
Published: (2026)

ForLion: A New Algorithm for D-optimal Designs under General Parametric Statistical Models with Mixed Factors
by: Huang, Yifei, et al.
Published: (2023)

Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions
by: Pillai, Natesh S.
Published: (2022)

Maximin Robust Bayesian Experimental Design
by: Abdulsamad, Hany, et al.
Published: (2026)

MCBench: A Benchmark Suite for Monte Carlo Sampling Algorithms
by: Ding, Zeyu, et al.
Published: (2025)

Batch-based Bayesian Optimal Experimental Design in Linear Inverse Problems
by: Mäkinen, Sofia, et al.
Published: (2026)

PNOD: An Efficient Projected Newton Framework for Exact Optimal Experimental Designs
by: Liang, Ling, et al.
Published: (2024)

Computation of Optimal Type-II Progressing Censoring Scheme Using Genetic Algorithm Approach
by: Roy, Ujjwal, et al.
Published: (2025)

MOODE: An R Package for Multi-Objective Optimal Design of Experiments
by: Koutra, Vasiliki, et al.
Published: (2024)

Lecture Notes on High Dimensional Linear Regression
by: Quaini, Alberto
Published: (2024)

A Multi-fidelity Estimator of the Expected Information Gain for Bayesian Optimal Experimental Design
by: Coons, Thomas E., et al.
Published: (2025)

Optimal Sampling for Kernel Quadrature on Unbounded Domains
by: Bandoni, Edoardo, et al.
Published: (2026)

Recursive Adaptive Importance Sampling with Optimal Replenishment
by: Barreto, Daniel Würzler, et al.
Published: (2025)

Deep Optimal Experimental Design for Parameter Estimation Problems
by: Siddiqui, Md Shahriar Rahim, et al.
Published: (2024)

The Optimality of Blocking Designs in Equally and Unequally Allocated Randomized Experiments with General Response
by: Azriel, David, et al.
Published: (2022)

R-VGAL: A Sequential Variational Bayes Algorithm for Generalised Linear Mixed Models
by: Vu, Bao Anh, et al.
Published: (2023)

Similarity-Driven Proposals for MCMC Algorithms on Discrete Spaces
by: Aiello, Luca, et al.
Published: (2026)