PhD Student,
Statistics
Monday, June 06, 2022, 15:00
- 17:00
Building 3, Level 5, Room 5209; https://kaust.zoom.us/j/94924228096
Contact Person
Bayesian inference is particularly challenging on hierarchical statistical models as computational complexity becomes a significant issue. Sampling-based methods like the popular Markov Chain Monte Carlo (MCMC) can provide accurate solutions, but they likely suffer a high computational burden.