An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions

Overview of attention for article published in Statistics and Computing, February 2017

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So far, Dimensions has found 31 publications that cite this research output.

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Bayesian design with sampling windows for complex spatial processes

Article in Journal of the Royal Statistical Society Series C (Applied Statistics) (November 2023)

Gibbs optimal design of experiments

Preprint in arXiv (October 2023)

Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics

Article in Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (March 2023)