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Convergence in Probability (continued) and Convergence in Distribution Let's try this again. The last video that I posted titled "Lecture 11" was not actually the correct video! (Thank you to the viewer that pointed this out. I'd love to give you a shout out for that but I lost all comments when I took down the incorrect video. 🙁) In this video: 🔹 The Continuous Mapping Theorem (for convergence in probability) 2:23 🔹 Joint Convergence in Probability to Deal With Sums 10:35 🔹 The Sample Variance! 14:38 🔹 Convergence in Distribution, Definition 31:30 🔹 The CDF of a constant 34:50 🔹 CDFs are Right Continuous 36:55 🔹 Convergence in Distribution, Examples 40:17 🔹 Convergence in Probability is Stronger 59:42 New videos release every Tuesday and Thursday! ---------------------------------------------------------------------------------------------------------------------------------------------- Thanks for watching! Consider checking out my MathStat textbook! http://www.amazon.com/Simple-Infinite-Joy-Mathematical-Statistics/dp/B0BD1YPQRN Also, if you are interested in data science, check out my courses on Coursera! https://www.coursera.org/specializations/statistical-inference-for-data-science-applications
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