Bayes linear analysis for Bayesian optimal experimental design
(2015)
Journal Article
Jones, M., Goldstein, M., Jonathan, P., & Randell, D. (2016). Bayes linear analysis for Bayesian optimal experimental design. Journal of Statistical Planning and Inference, 171, 115-129. https://doi.org/10.1016/j.jspi.2015.10.011
In many areas of science, models are used to describe attributes of complex systems. These models are generally themselves highly complex functions of their inputs, and can be computationally expensive to evaluate. Often, these models have parameters... Read More about Bayes linear analysis for Bayesian optimal experimental design.