https://orcid.org/0000-0003-2555-896X
Additional References
- Breiman, L., Friedman, J. H., Olshen, R. A., and Stone, C. J. (1984), Classification and Regression Trees, Belmont, CA: Wadsworth Publishing.
- Kim, A. S. I., and Wand, M. P. (2017). “On Expectation Propagation for Generalized, Linear and Mixed Models,” Australian and New Zealand Journal of Statistics, in press.
- Luttinen, J. (2016), “BayesPy: Variational Bayesian Inference in Python,” Journal of Machine Learning Research, 17, 1–6.
- Ryan, E. G., Drovandi, C. C., McGree, J. M., and Pettitt, A. N. (2016), “A Review of Modern Computational Algorithms for Bayesian Optimal Design,” International Statistical Review, 84, 128–154.
- Wood, S. N. (2016), “mgcv: Mixed GAM Computation Vehicle With GCV/AIC/REML Smoothness Estimation,” R package version 1.8. Available at http://cran.r-project.org