The Design and Analysis of Computer Experiments. - Thomas J. Santner; Brian J. Williams; William I. Notz (Springer, 2003)

Sensitivity analysis when model outputs are functions. - Katherine Campbell; Michael D. McKay; Brian J. Williams (Reliab. Eng. Syst. Saf., 2006)

Discussion (3): Jones-Johnson Paper. - Jason L. Loeppky; Brian J. Williams (Qual. Reliab. Eng. Int., 2009)

Incorporating Covariates in Flowgraph Models: Applications to Recurrent Event Data. - Aparna V. Huzurbazar; Brian J. Williams (Technometrics, 2010)

Panel discussion: integrating data from multiple simulation models of different fidelity. - Derek Bingham; C. Shane Reese; Brian J. Williams (WSC, 2011)

Batch sequential design to achieve predictive maturity with calibrated computer models. - Brian J. Williams; Jason L. Loeppky; Leslie M. Moore; Mason S. Macklem (Reliab. Eng. Syst. Saf., 2011)

Global Sensitivity Analysis for Mixture Experiments. - Jason L. Loeppky; Brian J. Williams; Leslie M. Moore (Technometrics, 2013)

Creation of GIS data requirements for FARSITE modeling of an historic wildfire. - Thomas M. Williams; Brian J. Williams; Bo Song (Math. Comput. For. Nat. Resour. Sci., 2014)

Colorful Math: Developing Algorithmic Methodology to Visualize and Analyze the Dynamics of a Deciduous Tree. - Shayne T. O'Brien; Bo Song; Brian J. Williams; Shaowu Bao (MASS, 2015)

Gradient free active subspace construction using Morris screening elementary effects. - Allison Lewis; Ralph C. Smith; Brian J. Williams (Comput. Math. Appl., 2016)

An information theoretic approach to use high-fidelity codes to calibrate low-fidelity codes. - Allison Lewis; Ralph C. Smith; Brian J. Williams; Victor Figueroa (J. Comput. Phys., 2016)

Comment: The NoMax Strategy and Correlated Outputs. - Warren L. Hare; Brian J. Williams; Jason L. Loeppky (Technometrics, 2016)

Bayesian model calibration on active subspaces. - Allison L. Lewis; Ralph C. Smith; Brian J. Williams (ACC, 2017)