Mathematical Statistics II:
testing hypothesis

Essentials of Mathematical Statistics: rigorous, intuitive, and practical.
Build on the fundamentals of Probability course and Mathematical Statistics I.
Gain deep insights into basics of testing hypothesis.
Crucial skills for scientists and machine learning practitioners alike.

From 22 Dec -- 21 Feb

The professor will conduct a 90-minute live weekly lecture, including Q&A,
Tuesdays at 7 PM GMT/UTC,
The lecture is repeated on Thursdays at the same time.

In this new course, I will build upon my previous course, "Mathematical Statistics I: estimation," which was based on John Rice's textbook. In that course, I covered chapter 6 on some foundations and chapter 8 on point estimation.

In this new course, "Mathematical Statistics II: testing hypothesis," I will continue by teaching Chapter 9 which provides a cornerstone in statistics, "testing hypothesis". This course is the second in a series that aims at covering the second half of the textbook.

This course, and the entire series, are fundamental for scientists who want to gain a rigorous understanding, develop intuitive insights, and learn practical applications of Mathematical Statistics. It is essential for scientific fields and especially critical for those pursuing machine learning.