Lecture, three hours; discussion, one hour. Limited to Master of Applied Statistics students. Basic concepts of mathematical statistics and their applications. Mathematics used to prove various statistical theories, with emphasis on real-world applications. Estimation and statistical inference. Random variables and their distributions; random vectors, their means, variances, variance covariance matrix; and important limit theorems such as central limit theorem. Letter grading.

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Course

Instructor
Nicolas Christou
Previously taught
23W 22W 21W 20W 19W 17W

Textbooks

Textbook information not available.