Question

Is there an "interesting" function that grows faster than $n^{kn}$ but slower than $2^{2^n}$ -- relates to understanding googolplex

score 233 · Answer 1 · 2013-12-14 07:21:53

233

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Is there an "interesting" function that grows faster than $n^{kn}$ but slower than $2^{2^n}$ -- relates to understanding googolplex

Published on 14 Dec 2013 - 7:21

score 1.2k · Answer 2 · 2014-01-01 15:54:34

1.2k

Views

Triangular arrays and almost sure convergence of row averages

Published on 01 Jan 2014 - 15:54

score 1k · Answer 3 · 2026-03-29 03:12:23

1k

Views

Almost sure convergence of harmonic mean

Published on 29 Mar 2026 - 3:12

score 83 · Answer 4 · 2014-01-06 13:50:51

83

Views

A different type of Law of Large Numbers

Published on 06 Jan 2014 - 13:50

score 538 · Answer 5 · 2014-01-08 16:58:48

538

Views

law of large numbers and renewal processes

Published on 08 Jan 2014 - 16:58

score 3.2k · Answer 6 · 2014-01-10 02:29:51

3.2k

Views

a.s. convergence of sum of normal random variables

Published on 10 Jan 2014 - 2:29

score 589 · Answer 7 · 2014-01-14 09:08:45

589

Views

How to use Chebyshev's inequality or the law of large numbers to a probability question?

Published on 14 Jan 2014 - 9:08

score 132 · Answer 8 · 2014-01-14 17:50:14

132

Views

Which different probabilistic bounds/inequalities apply when we are given a lower bound on the sample size

Published on 14 Jan 2014 - 17:50

score 137 · Answer 9 · 2014-01-29 14:33:30

137

Views

Is the expected value $\mu$ in the WLLN a random variable?

Published on 29 Jan 2014 - 14:33

score 78 · Answer 10 · 2014-01-29 19:54:12

78

Views

How to show that $n^{-r} \sum_{j=1}^n (X_j - \mu) \rightarrow 0$ in probability

Published on 29 Jan 2014 - 19:54

score 234 · Answer 11 · 2014-02-05 03:59:29

234

Views

Measure Theory and Law of Large numbers

Published on 05 Feb 2014 - 3:59

score 753 · Answer 12 · 2014-02-05 04:31:48

753

Views

Sum of infinitely many i.i.d. random variables is infinite with probability 1

Published on 05 Feb 2014 - 4:31

score 360 · Answer 13 · 2014-02-10 21:28:50

360

Views

Law of large numbers: second moment tends to 0, but $S_n/n$ doesn't converge a.e.

Published on 10 Feb 2014 - 21:28

score 189 · Answer 14 · 2014-02-11 21:09:11

189

Views

How big is a large sample?

Published on 11 Feb 2014 - 21:09

score 83 · Answer 15 · 2014-02-27 18:04:36

83

Views

Law of large numbers to get the limit of $\frac{1}{n}\sum\limits_{i=1}^n\frac{1}{n}\sum\limits_{j=1}^nf(X_i)g(X_j)$

Published on 27 Feb 2014 - 18:04

List Question

Is there an "interesting" function that grows faster than $n^{kn}$ but slower than $2^{2^n}$ -- relates to understanding googolplex

Triangular arrays and almost sure convergence of row averages

Almost sure convergence of harmonic mean

A different type of Law of Large Numbers

law of large numbers and renewal processes

a.s. convergence of sum of normal random variables

How to use Chebyshev's inequality or the law of large numbers to a probability question?

Which different probabilistic bounds/inequalities apply when we are given a lower bound on the sample size

Is the expected value $\mu$ in the WLLN a random variable?

How to show that $n^{-r} \sum_{j=1}^n (X_j - \mu) \rightarrow 0$ in probability

Measure Theory and Law of Large numbers

Sum of infinitely many i.i.d. random variables is infinite with probability 1

Law of large numbers: second moment tends to 0, but $S_n/n$ doesn't converge a.e.

How big is a large sample?

Law of large numbers to get the limit of $\frac{1}{n}\sum\limits_{i=1}^n\frac{1}{n}\sum\limits_{j=1}^nf(X_i)g(X_j)$

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