140.647.01 ESSENTIALS OF PROBABILITY AND STATISTICAL INFERENCE II: STATISTICAL INFERENCE
Introduces students to the theory of statistical inference. Topics include the frequentist, Bayesian and likelihood approaches to statistical inference including estimation, testing hypotheses and interval estimation. Emphasizes rigorous analysis (including proofs), as well as interpretation of results and simulation for illustration.
After completing this course, a student 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 linear algebra, including the ability to invert a matrix; full year college level calculus, plus current working knowledge of it, meaning you can quickly do integration and differentiation of standard functions, which are needed for homework and exam questions.