Question

Explicit unique solution formula for linear constant coefficient recurrence relation depending on a parameter when eigenvalues change multiplicity

score 23 · Answer 1 · 2026-03-26 04:28:56

23

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Explicit unique solution formula for linear constant coefficient recurrence relation depending on a parameter when eigenvalues change multiplicity

Published on 26 Mar 2026 - 4:28

score 129 · Answer 2 · 2026-03-27 05:42:00

129

Views

How to prove that the characteristic function of $n \bar{X}^2$ converges to that of chi square

Published on 27 Mar 2026 - 5:42

score 41 · Answer 3 · 2023-10-08 21:17:45

41

Views

For random variable X on a probability space there is another probability space with random variable Y that has the same probability as its negative

Published on 08 Oct 2023 - 21:17

score 47 · Answer 4 · 2023-10-13 10:14:18

47

Views

Generate sample values of a distribution with known Characteristic Function in R

Published on 13 Oct 2023 - 10:14

score 40 · Answer 5 · 2023-10-16 19:50:33

40

Views

Inverse the mapping from a subset $B$ of $X$ to its characteristic function $\chi_B: X \to \{0,1\}$

Published on 16 Oct 2023 - 19:50

score 79 · Answer 6 · 2023-10-23 14:09:30

79

Views

Compute the characteristic function of $X\sim\text{Poisson}(Z)$ where $Z$ is exponentially distributed.

Published on 23 Oct 2023 - 14:09

score 42 · Answer 7 · 2023-10-23 20:31:29

42

Views

Difference between characteristic functions of two random variables in terms of expection of squared difference

Published on 23 Oct 2023 - 20:31

score 191 · Answer 8 · 2023-10-25 13:24:03

191

Views

Is it true differentiability of characteristic function at 0 implies existence of the first moment.

Published on 25 Oct 2023 - 13:24

score 48 · Answer 9 · 2023-11-21 14:20:22

48

Views

characteristic function in definition of a probability density function

Published on 21 Nov 2023 - 14:20

score 43 · Answer 10 · 2026-03-28 20:57:49

43

Views

Sufficient condition for the characteristic function of a discrete distribution to be decreasing

Published on 28 Mar 2026 - 20:57

score 31 · Answer 11 · 2023-12-04 15:15:49

31

Views

Uniqueness of probability measures from equality of their moment generating functions in the domain of finiteness of the MGFs.

Published on 04 Dec 2023 - 15:15

score 34 · Answer 12 · 2023-12-08 12:21:51

34

Views

Applying Lebesgue’s DCT to prove that finite E|X| implies continuous differentiability

Published on 08 Dec 2023 - 12:21

score 27 · Answer 13 · 2023-12-12 11:11:27

27

Views

Evaluate $\mathrm{P}(U \ge 0)$ by knowing the characteristic function of the random variable $U$

Published on 12 Dec 2023 - 11:11

score 40 · Answer 14 · 2023-12-15 03:25:57

40

Views

Exchangeability of differentiation and integration to show a characteristic function

Published on 15 Dec 2023 - 3:25

score 40 · Answer 15 · 2026-03-28 18:13:24

40

Views

Distributions convergence and standard normal random variable using characteristic functions

Published on 28 Mar 2026 - 18:13

List Question

Explicit unique solution formula for linear constant coefficient recurrence relation depending on a parameter when eigenvalues change multiplicity

How to prove that the characteristic function of $n \bar{X}^2$ converges to that of chi square

For random variable X on a probability space there is another probability space with random variable Y that has the same probability as its negative

Generate sample values of a distribution with known Characteristic Function in R

Inverse the mapping from a subset $B$ of $X$ to its characteristic function $\chi_B: X \to \{0,1\}$

Compute the characteristic function of $X\sim\text{Poisson}(Z)$ where $Z$ is exponentially distributed.

Difference between characteristic functions of two random variables in terms of expection of squared difference

Is it true differentiability of characteristic function at 0 implies existence of the first moment.

characteristic function in definition of a probability density function

Sufficient condition for the characteristic function of a discrete distribution to be decreasing

Uniqueness of probability measures from equality of their moment generating functions in the domain of finiteness of the MGFs.

Applying Lebesgue’s DCT to prove that finite E|X| implies continuous differentiability

Evaluate $\mathrm{P}(U \ge 0)$ by knowing the characteristic function of the random variable $U$

Exchangeability of differentiation and integration to show a characteristic function

Distributions convergence and standard normal random variable using characteristic functions

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