- Robust and stochastic optimization
- Convex analysis
- Linear programming
- Monte Carlo simulation
- Model-based estimation
- Matrix algebra review
- Probability and statistics basics
J. Piironen, и A. Vehtari. Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, том 54 из Proceedings of Machine Learning Research, стр. 905--913. PMLR, (20--22 apr 2017)
B. Kelly. (2007)cite arxiv:0705.2774
Comment: 39 pages, 11 figures, 1 table, accepted by ApJ. IDL routines
(linmix_err.pro) for performing the Markov Chain Monte Carlo are available at
the IDL astronomy user's library, http://idlastro.gsfc.nasa.gov/homepage.html.