Question

Probability of transmitting a signal through a network of transmitters.

score 44 · Answer 1 · 2018-12-20 23:59:56

44

Views

Probability of transmitting a signal through a network of transmitters.

Published on 20 Dec 2018 - 23:59

score 57 · Answer 2 · 2018-12-23 01:00:34

57

Views

$2N$ independent random variables. Does the sum of $N$ random variables and the sum of the other $N$ are independent?

Published on 23 Dec 2018 - 1:00

score 118 · Answer 3 · 2018-12-24 14:12:06

118

Views

Independence of probability of $a_k$ being the largest element among the first $k$ elements in the permutation

Published on 24 Dec 2018 - 14:12

score 41 · Answer 4 · 2018-12-24 17:50:40

41

Views

What would be the expected product of two samples from same distribution?

Published on 24 Dec 2018 - 17:50

score 202 · Answer 5 · 2018-12-26 17:25:06

202

Views

The mutual density of $X,Y$ in $\{|t|+|s|<1\}$ is constant, are $X,Y$ independent?

Published on 26 Dec 2018 - 17:25

score 784 · Answer 6 · 2019-01-02 16:30:44

Consider of drawing one card from a deck of $52$. Prove that the events of a spade being drawn and an ace being drawn are independent events.

score 20 · Answer 7 · 2019-01-03 02:57:14

20

Views

Independence Among Dataset Observations

Published on 03 Jan 2019 - 2:57

score 21 · Answer 8 · 2019-01-06 15:27:49

21

Views

Sequence of log-normal distributed random variables

Published on 06 Jan 2019 - 15:27

score 55 · Answer 9 · 2026-03-25 22:03:33

55

Views

$\sum_{n=1}^{\infty}p_{n}<\infty \iff X_{n} \to 0$ a.s.

Published on 25 Mar 2026 - 22:03

score 484 · Answer 10 · 2019-01-07 09:30:36

484

Views

Independent continuous random variables problem

Published on 07 Jan 2019 - 9:30

score 54 · Answer 11 · 2026-03-26 10:45:12

54

Views

Hints on proving existence of $(\prod_{i=1}^{n}X_{n})^{\frac{1}{n}}$

Published on 26 Mar 2026 - 10:45

score 31 · Answer 12 · 2019-01-08 00:47:05

31

Views

Equivalent condition for a stochastic process to be independent of a $\sigma$-algebra

Published on 08 Jan 2019 - 0:47

score 41 · Answer 13 · 2019-01-08 18:08:27

41

Views

Show that $X \perp\!\!\!\perp Y \iff \forall f \, \text{bounded and measurable} \, \mathbb{E}[f(X)\mid Y] = E[f(X)]$

Published on 08 Jan 2019 - 18:08

score 72 · Answer 14 · 2019-01-10 12:32:10

72

Views

$X_{1},...,X_{n}$ ~ $Ber(p)$ what can I say about $\exp(\lambda X_{1}),...,\exp(\lambda X_{n})$

Published on 10 Jan 2019 - 12:32

score 302 · Answer 15 · 2026-03-25 22:10:51

302

Views

Show that stochastic integral is Gaussian by independency of increments

Published on 25 Mar 2026 - 22:10

List Question

Probability of transmitting a signal through a network of transmitters.

$2N$ independent random variables. Does the sum of $N$ random variables and the sum of the other $N$ are independent?

Independence of probability of $a_k$ being the largest element among the first $k$ elements in the permutation

What would be the expected product of two samples from same distribution?

The mutual density of $X,Y$ in $\{|t|+|s|<1\}$ is constant, are $X,Y$ independent?

Consider of drawing one card from a deck of $52$. Prove that the events of a spade being drawn and an ace being drawn are independent events.

Independence Among Dataset Observations

Sequence of log-normal distributed random variables

$\sum_{n=1}^{\infty}p_{n}<\infty \iff X_{n} \to 0$ a.s.

Independent continuous random variables problem

Hints on proving existence of $(\prod_{i=1}^{n}X_{n})^{\frac{1}{n}}$

Equivalent condition for a stochastic process to be independent of a $\sigma$-algebra

Show that $X \perp\!\!\!\perp Y \iff \forall f \, \text{bounded and measurable} \, \mathbb{E}[f(X)\mid Y] = E[f(X)]$

$X_{1},...,X_{n}$ ~ $Ber(p)$ what can I say about $\exp(\lambda X_{1}),...,\exp(\lambda X_{n})$

Show that stochastic integral is Gaussian by independency of increments

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