SDS 391P.4
Computational Inference
Examine computational methods for inference in statistical models. Explore inference methods, their properties, and their applicability. Discuss deterministic and stochastic optimization, Monte Carlo methods, and variational inference. Statistics and Data Sciences 391P (Topic 4) and 386D may not both be counted. Three lecture hours a week for one semester.
Prerequisites & course information
Examine computational methods for inference in statistical models. Explore inference methods, their properties, and their applicability. Discuss deterministic and stochastic optimization, Monte Carlo methods, and variational inference. Statistics and Data Sciences 391P (Topic 4) and 386D may not both be counted. Three lecture hours a week for one semester.
Sources
- Course catalogue ↗2026-2027