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16 views

Second moment of weighted average of random variables

I stumbled upon problem 254 from the SOA Exam P list in https://www.soa.org/globalassets/assets/Files/Edu/edu-exam-p-sample-quest.pdf for which I am puzzled by the solution described in https://www....
XaviZ's user avatar
  • 1
1 vote
1 answer
80 views

properties of a expectation for a non-negative random variable

Say I have a non-negative discrete random variable $X$ (values of $X$ can be mapped to integers $(0, 2^n -1)$ for $n \in \mathbb{Z}$) and an associated distribution $P(X)$. Given a non-negative scalar ...
Manas Sajjan's user avatar
5 votes
1 answer
198 views

expectation value, distribution function and the central limit theorem

The problem goes thus: ${\{X_n\}}$ is an $iid$ sequence of random variables with mean 0 and variance $\sigma^2$. If the third moment is finite, show that $$\lim_{n \to \infty} \mathbb{E} \left(\left(...
Snowflake's user avatar
  • 153
0 votes
0 answers
17 views

Taking expectation of higher moments using original distribution [duplicate]

If we want to calculate $\mathbb{E}[X]$, we know this is $\int_{-\infty}^{\infty} x f_X(x) dx$. When we want to calculate $\mathbb{E}[X^n]$ (for, say, positive integer $n$), we also do this with ...
David's user avatar
  • 111
2 votes
1 answer
116 views

Moments of sum of squares of independent gaussians $X_i \sim \mathcal{N}(\mu_i,\sigma^2_i)$, or $||X||^2$

Say that we have $X_i \sim \mathcal{N}(\mu_i, \sigma_i^2)$. Is there some formula to calculate analytically the expected value of the sum $S = \sum_i^n X_i^2$?. This is equivalent to computing $\...
dherrera's user avatar
  • 1,328
3 votes
1 answer
89 views

What is the fourth moment of a Euclidean Norm?

Let $X=\lVert M^\top p\rVert_2$, where $M$ is an $n\times n$ non-random matrix and $p\sim N(0,I_{n\times n})$ is an $n\times 1$ vector, and$\lVert \cdot\rVert_2$ is the Euclidean norm. Using some ...
Carl's user avatar
  • 1,226
0 votes
0 answers
39 views

Given two rvs $X$ and $Y$, if $X Y = Z$, is it possible to change the mean and sd of $X$ without changing the mean and sd of $Y$ and $Z$

I have two lognormal rvs $X$ and $Y$, and a third rv $Z$ which is the product of the former two. I know the mean and standard deviation of the three. Is it possible to calculate an alternative pair of ...
Pau's user avatar
  • 113
0 votes
0 answers
54 views

Variance of powers of a standard normal random variable

To predict growth of money in a stock market I try to calculate expected return over a longer timeframe (e.g. 30 years) with a confidence interval. The simple math of taking an average stock market ...
Bastiaan's user avatar
  • 139
0 votes
0 answers
30 views

Expectations with respect to affine transformation of a log-normal distribution

Let $X$ be a log-normal distribution and consider $Y=aX+b$ for some $a,b>0$. I would like to know if one can compute $$\mathbb{E}[\log(Y)]$$ This would be very easy if it was $b=0$, since in this ...
Francesco Bilotta's user avatar
1 vote
1 answer
60 views

Convergence of moment of functional of random variable

Define $X_n$ a continuous random variable that converges in distribution to $X$. Morever, we know that $E[|X_n|^p] \rightarrow E[|X|^p]$ for some $p > 0$. Then, could we prove that for any ...
Eryna's user avatar
  • 329
6 votes
2 answers
494 views

Absolute third central moment for standard distributions reference

I have to write an R function that computes the absolute third central moment (i.e. $\mathbb{E}[|X-\mathbb{E}[X]|^3]$) in the cases that you are given the name of ...
JustAnAmateur's user avatar
2 votes
2 answers
58 views

Possible typo in discussion of moments of a random variable

I'm struggling to understand some notation in this excerpt from Larsen & Marx. Under "Comment" j is defined as ...
planarian's user avatar
  • 171
4 votes
2 answers
453 views

Expected squared dot product between IID Gaussian vectors?

Suppose $x,y$ are IID samples from a Gaussian distribution in $\mathbb{R}^d$. The following seems true: $$2\ \mathbb{E}\left[\langle x, y\rangle^2\right] = \mathbb{E}\left[\|x\|^4\right]-\mathbb{E}\...
Yaroslav Bulatov's user avatar
2 votes
2 answers
163 views

What is $E\left[\frac{X^2}{X^2+Y^2}\right]$ if $X$ and $Y$ are normally distributed but not iid.?

I assume that X and Y are normally distributed with individual mean and variance. So far, I have found that an analytic expression exists for $E[X^2+Y^2]$, $E[X^2*Y^2]$ and $E[X^2*(X^2+Y^2)]$, all ...
Jannis's user avatar
  • 310
3 votes
1 answer
237 views

Moments of inverse of a non-central chi distributed variable

I have a non-central chi variable $r$ with the distribution, \begin{align} p(r) = \frac{r^3\lambda}{(\lambda r)^{3/2}}\exp\left[-0.5(r^2 + \lambda^2)\right]I_{1/2}(r\lambda) \end{align} I'm looking ...
Nikhil Sharma's user avatar

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