List questions from law-of-large-numbers

237

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Why is the law of large numbers defined as the probability of a limit rather than the limit of probability?

Published on 13 Apr 2026 - 7:34

170

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law of large numbers for empirical cdf with normalized weights

Published on 26 Mar 2026 - 1:15

47

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Discretization of processes

Published on 11 Apr 2026 - 7:09

67

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LLN for $\frac{1}{n} \sum_{i = 1}^n (|X_i| - \mathbb{E}[|X_i|])$ when $X_i$ are uncorrelated.

Published on 16 Apr 2026 - 8:02

101

Views

Convergence about an infinite double random array

Published on 11 Apr 2026 - 12:19

56

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Brownian motion lim

Published on 15 Apr 2026 - 5:08

204

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Consistent estimator of $p$ of Bernoulli trial

Published on 13 Apr 2026 - 19:30

92

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On the sum of random coin flips

Published on 15 Apr 2026 - 6:04

56

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Probability of a volatile stock and its limiting behaviour

Published on 12 Apr 2026 - 14:07

26

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LLN on the sample mean of an AR(1)

Published on 14 Apr 2026 - 18:29

67

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The variables are independent and have a normal distribution. Is $Y_n = \frac{|X_1 - X_2| + ... + |X_n - X_{n+1}|}{X_1^2 +... X_n^2} $ convergent?

Published on 15 Apr 2026 - 21:06

379

Views

Law of Large Numbers for a Brownian Motion

Published on 12 Apr 2026 - 6:10

43

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Calculate probability of $\lim _{n\to \infty }\mathbb{P}\left[X_n\le 1\right]$ using CLT or LLN

Published on 16 Apr 2026 - 10:02

20

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Consistency and unbiasedness of the estimator

Published on 17 Apr 2026 - 2:38

77

Views

Weak law of large numbers, strong mixing

Published on 11 May 2026 - 1:47

List Question

Why is the law of large numbers defined as the probability of a limit rather than the limit of probability?

law of large numbers for empirical cdf with normalized weights

Discretization of processes

LLN for $\frac{1}{n} \sum_{i = 1}^n (|X_i| - \mathbb{E}[|X_i|])$ when $X_i$ are uncorrelated.

Convergence about an infinite double random array

Brownian motion lim

Consistent estimator of $p$ of Bernoulli trial

On the sum of random coin flips

Probability of a volatile stock and its limiting behaviour

LLN on the sample mean of an AR(1)

The variables are independent and have a normal distribution. Is $Y_n = \frac{|X_1 - X_2| + ... + |X_n - X_{n+1}|}{X_1^2 +... X_n^2} $ convergent?

Law of Large Numbers for a Brownian Motion

Calculate probability of $\lim _{n\to \infty }\mathbb{P}\left[X_n\le 1\right]$ using CLT or LLN

Consistency and unbiasedness of the estimator

Weak law of large numbers, strong mixing

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