140.648.01 ESSENTIALS OF PROBABILITY AND STATISTICAL INFERENCE III: THEORY OF MODERN STATISTICAL METHODS
Builds on the concepts discussed in 140.646 and 140.647 to provide the theory for modern statistical methods such as linear models, generalized linear models, random effects models, and marginal regression models. Also discusses the theory of causal inference. De-emphasizes proofs and replaces them with extended discussion of interpretation of results and simulation for illustration.
After completing this course, students will be able to understand the theoretical basis for the current methods used in statistical analysis.
Upon successfully completing this course, students will be able to:
Describe the theoretical basis for the current methods used in statistical analysis
- Tuesday 3:30 - 4:50
- Thursday 3:30 - 4:50
Working knowledge of calculus