Large numbers

Related lectures (32)

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Explores conditional expectation, the grouping lemma, and the law of large numbers.

Explores the misconceptions and strategies of card counting in a treasure hunt.

Explains the Law of Large Numbers and its application to random variables.

Explores the convergence properties of Markov chains and the computation of long-run mean rewards.

Explores fundamental theorems in probability and statistics, joint probability laws, and marginal distributions.

Explores Markov chain convergence, emphasizing invariant distribution, Law of Large Numbers, and mean rewards computation.

Explores the Central Limit Theorem, Slutsky's Theorem, and the Multivariate Delta Method in probability and distribution convergence.

Delves into the complexities of extending from finite variance to finite expectation assumptions.

Explores the proof and applications of the law of large numbers, emphasizing convergence of the empirical distribution.

Covers conditional expectation, convergence of random variables, and the strong law of large numbers.