Mathematical Statistics and Probability

Catalog description

The main goal of the course is to provide an introduction to probability theory and statistics with an emphasis on the concepts and tools that are necessary for econometrics, such as best linear prediction, conditional distributions and expectation functions, and large sample theory. The course aims at training students to apply but also question the validity of conventional statistical techniques. We study the problem of choosing estimators, including a comparison of various criteria for ranking estimators, and the classical approach to hypothesis testing and interval estimation. The course also offers a brief introduction to data analysis and statistical learning. This 4-credit course (70 contact hours) counts towards the Master of Science in Economics. Prerequisites are knowledge of the material covered in ECON-GH 5000 Math Camp. This course has to be taken after or concurrently with ECON-GH 5900 Mathematics.