List questions from law-of-large-numbers

Published on 16 Dec 2014 - 22:43

141

Views

prove this martingale inequality

Published on 17 Dec 2014 - 2:45

588

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Central limit theorem in the setting of Poisson variables

Published on 18 Dec 2014 - 1:30

106

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Approximate normal distribution(this is different from what I asked earlier $\log(n)$ is replaced by $\sqrt{\log{n}}$)

Published on 18 Dec 2014 - 4:56

371

Views

Weak Law of Large Number and Truncated Mean

Published on 11 Oct 2019 - 17:43

875

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Convergence of series in probability to 1 implies convergence of pointwise max over $n$ in probability to 0

Published on 26 Mar 2026 - 1:17

194

Views

Are i.i.d. random variables with infinite expectation uncorrelated?

Published on 12 Oct 2019 - 7:36

301

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Strong Law of Zero Mean i.i.d Random Variables with a Bounded Sequence of Non-Random Constants

Published on 16 Oct 2019 - 19:05

21

Views

Law of large numbers: average value of a function approaching the expected value when the domain is sampled according to a different distribution

Published on 17 Oct 2019 - 20:56

909

Views

Average of sequence random variables convergence

Published on 19 Oct 2019 - 11:04

66

Views

How to apply Chebysev's inequality here?

Published on 20 Oct 2019 - 10:23

17

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Why does the regressor '1/t' in y(t) = B1 + B2(1/t) + u tend to zero?

Published on 25 Mar 2026 - 11:20

171

Views

How do I use laws of large numbers?

Published on 01 Nov 2019 - 13:51

47

Views

What will $W$ converge to?

Published on 26 Mar 2026 - 12:33

55

Views

Laws of large numbers problem: Convergence of a symmetric sequence

Published on 23 Feb 2026 - 12:35

List Question

Can you prove the Law of Large Numbers?

prove this martingale inequality

Central limit theorem in the setting of Poisson variables

Approximate normal distribution(this is different from what I asked earlier $\log(n)$ is replaced by $\sqrt{\log{n}}$)

Weak Law of Large Number and Truncated Mean

Convergence of series in probability to 1 implies convergence of pointwise max over $n$ in probability to 0

Are i.i.d. random variables with infinite expectation uncorrelated?

Strong Law of Zero Mean i.i.d Random Variables with a Bounded Sequence of Non-Random Constants

Law of large numbers: average value of a function approaching the expected value when the domain is sampled according to a different distribution

Average of sequence random variables convergence

How to apply Chebysev's inequality here?

Why does the regressor '1/t' in y(t) = B1 + B2(1/t) + u tend to zero?

How do I use laws of large numbers?

What will $W$ converge to?

Laws of large numbers problem: Convergence of a symmetric sequence

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