probability - Proof explanation - weak law of large numbers - Mathematics Stack Exchange

By A Mystery Man Writer

Let $(X_i)$ be i.i.d. random variables with mean $\mu$ and finite variance. Then $$\dfrac{X_1 + \dots + X_n}{n} \to \mu \text{ weakly }$$ I have the proof here: What I don't understand is, why it

probability theory - Law of large numbers for dependent random variables with fixed covariance - Mathematics Stack Exchange

Difference operator defined in Probability by Shiryaev - Mathematics Stack Exchange

Proof of the Law of Large Numbers Part 2: The Strong Law, by Andrew Rothman

Has anyone asked a question on math.stackexchange and gotten rude/ condescending answers, for not knowing enough about the subject, and got disheartened from asking math questions anymore? - Quora

Solved (a) State and prove the weak law of large number. (b)

miro.medium.com/v2/resize:fit:1400/1*vyLK_wrhViKWZ

martingales - How to prove autocorrelation function converges in

probability distributions - Statistical inference, MGF of sum of i.i.d. random variables - Mathematics Stack Exchange

Law of large numbers - Wikipedia

information theory - Intuitive explanation of entropy - Mathematics Stack Exchange

©2016-2024, doctommy.com, Inc. or its affiliates