STSCI 5080
Probability Models and Inference
This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based estimation, sampling distributions and hypothesis testing, as well as an introduction to Bayesian methods. Some assignments may involve computation using the R programming language.
Topics
- Students will be able to manipulate random variables and their distributions using differential and integral calculus.
- Students will be able to derive properties of standard probability.
- Students will be able to derive maximum likelihood estimators for standard probability distributions and discuss their properties.
Official roster learning outcomes
Prerequisites & course information
background equivalent to: STSCI 2150 or STSCI 2200.
Sources
Catalogue variants
- Probability Models and Inference · 4.0 · Graduate