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Parameter Estimation and Convergence for a Sequence of Random Variables... In this video: 🔹 MSE versus Variance Example 🔹 Asymptotically Unbiased Estimators 17:13 🔹 Convergence in Probability for a Sequence of Random Variables 25:55 🔹 Some Useful Inequalities (Markov, Chebyshev) 32:45 🔹 The Weak Law of Large Numbers 53:21 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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