1. Uncovering Active Structural Subspaces Associated with Changes in Indicators for Alzheimer’s Disease
2. Robust Bayesian analysis: sensitivity to the prior
3. A comparison of material flow strength models using Bayesian cross-validation
4. Bridges, R., Gruber, A., Felder, C., Verma, M., and Hoff, C. (2019), “Active Manifolds: A Non-linear Analogue to Active Subspaces,” in International Conference on Machine Learning, pp. 764–772, PMLR.
5. Buede, D. M., and Miller, W. D. (2016), The Engineering Design of Systems: Models and Methods, Newark: Wiley.