23 citations · 27 across the 3 of their papers we have counts for
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stat.ME2026★ 2 cited
Adaptive and robust experimental design for linear dynamical models using Kalman filter
Arno Strouwen, Bart M. Nicolaï, Peter Goos
Current experimental design techniques for dynamical systems often only incorporate measurement noise, while dynamical systems also involve process noise. To construct experimental…
stat.ME2026★ 2 cited
A Note on the Output of a Coordinate-Exchange Algorithm for Optimal Experimental Design
Arno Strouwen, Peter Goos
The coordinate-exchange algorithm is commonly used to construct optimal experimental designs. Every execution of the coordinate-exchange algorithm produces a new, seemingly random,…
stat.ME2021★ 23 cited
Bayesian I-optimal designs for choice experiments with mixtures
Mario Becerra, Peter Goos
Discrete choice experiments are frequently used to quantify consumer preferences by having respondents choose between different alternatives. Choice experiments involving mixtures…