Designs for Generalized Linear Models With Several Variables and Model Uncertainty. - David C. Woods; Susan M. Lewis; John A. Eccleston; K. G. Russell (Technometrics, 2006)

A comparison of design and model selection methods for supersaturated experiments. - Christopher J. Marley; David C. Woods (Comput. Stat. Data Anal., 2010)

Blocked Designs for Experiments With Correlated Non-Normal Response. - David C. Woods; Peter M. van de Ven (Technometrics, 2011)

Weighted space-filling designs. - Veronica E. Bowman; David C. Woods (J. Simulation, 2013)

Screening Strategies in the Presence of Interactions. - Danel Draguljic; David C. Woods; Angela M. Dean; Susan M. Lewis; Anna-Jane E. Vine (Technometrics, 2014)

Rejoinder. - David C. Woods; Susan M. Lewis; Angela M. Dean; Danel Draguljic (Technometrics, 2014)

Emulation of Multivariate Simulators Using Thin-Plate Splines with Application to Atmospheric Dispersion. - Veronica E. Bowman; David C. Woods (SIAM/ASA J. Uncertain. Quantification, 2016)

Model selection via Bayesian information capacity designs for generalised linear models. - David C. Woods; James M. McGree; Susan M. Lewis (Comput. Stat. Data Anal., 2017)

Bayesian Design of Experiments Using Approximate Coordinate Exchange. - Antony M. Overstall; David C. Woods (Technometrics, 2017)

Bayesian prediction for physical models with application to the optimization of the synthesis of pharmaceutical products using chemical kinetics. - Antony M. Overstall; David C. Woods; Kieran J. Martin (Comput. Stat. Data Anal., 2019)

acebayes: An R Package for Bayesian Optimal Design of Experiments via Approximate Coordinate Exchange. - Antony M. Overstall; David C. Woods; Maria Adamou (J. Stat. Softw., 2020)

Approximate Laplace importance sampling for the estimation of expected Shannon information gain in high-dimensional Bayesian design for nonlinear models. - Yiolanda Englezou; Timothy W. Waite; David C. Woods (Stat. Comput., 2022)

Machine learning-guided space-filling designs for high throughput liquid formulation development. - Aniket Chitre; Daria Semochkina; David C. Woods; Alexei A. Lapkin (Comput. Chem. Eng., 2025)

Multi-objective reaction optimization under uncertainties using expected quantile improvement. - Jiyizhe Zhang; Daria Semochkina; Naoto Sugisawa; David C. Woods; Alexei A. Lapkin (Comput. Chem. Eng., 2025)

Multiobjective Optimization Using Expected Quantile Improvement for Decision Making in Disease Outbreaks. - Daria Semochkina; Alexander I. J. Forrester; David C. Woods (SIAM/ASA J. Uncertain. Quantification, 2025)