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2 votes
0 answers
94 views

$E(XY)$ for a truncated bivariate normal

If $(X, Y)$ follows a bivariate Gaussian distribution with mean ${\bf \mu}$ and covariance ${\bf \Sigma}$ with truncation bounds $(a_x, b_x, a_y, b_y)$, can we compute $E(XY)$ in closed form? If not, ...
knrumsey's user avatar
  • 8,392
0 votes
0 answers
37 views

Ratio of Normal Distributions [duplicate]

Suppose I have two independent random variables, $X \sim N(\mu_1,\sigma_1^2)$ and $Y \sim N(\mu_2,\sigma_2^2)$ with $\mu_1,\mu_2 > 0$. How can I compute/estimate $$ \mathbb{E}\left[\left\lvert \...
Algebro1000's user avatar
6 votes
1 answer
73 views

$E[W\otimes W]$ for Wishart R.V. $W$

What is the value of $E[W\otimes W]$ for Wishart R.V. $W$? $\otimes$ refers to Kronecker product I found related formula for $E[WAW]$ on page 467 of Seber's Matrix handbook, wondering if $E[W\otimes W]...
Yaroslav Bulatov's user avatar
3 votes
1 answer
100 views

Expectation of the Gaussian likelihood

I'm working on a challenging machine learning problem, where I need to find the expectation of the likelihood of one Gaussian, given the parameters of another. Apologies if any of the notation is ...
reynolds.brian's user avatar
1 vote
1 answer
105 views

Expectation of the reciprocal of a standard normal random variable [duplicate]

If $\mathbf{X} \sim_{iid} \mathcal{N}(\mu, 1)$ then we know that the sample mean $\bar{X} \sim \mathcal{N}(\mu, 1/n)$, how would we show that $$\mathbf{E}\left(\frac{1}{\bar{X}}\right) = \infty $$ and ...
delta_99's user avatar
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
87 views

Given $r\gt 0$, how to get $\mu_r = E[|U|^r]$ where $U\sim N(0,1)$?

Given a standard normal random variable $U$ , is there a general formula to compute the expected value of the absolute value of $U$ to any power? For example given a non negative constant $r$ (i.e $r\...
V013's user avatar
  • 115
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
0 votes
1 answer
225 views

Expected value of Truncated Normal Distribution [duplicate]

For the truncated normal distribution below: $$ {f_X(x; σ, a, b)} = \frac{1}{\sigma}\frac{φ(\frac{x-µ}{σ})}{Φ(\frac{b-µ}{σ})-Φ(\frac{a-µ}{σ})} $$ $$ a = 1; b = ∞; σ = 2 $$ I need to calculate the ...
nilsinelabore's user avatar
9 votes
5 answers
279 views

Finding $\mathbb E(Y_1^2Y_2^2)$ when $(Y_1,Y_2)$ is normal

Let $$Y =\begin{pmatrix} Y_1 \\ Y_2 \end{pmatrix} \sim N(0, \Sigma) \quad \Sigma=\begin{pmatrix} \sigma_{11} & \sigma_{12}\\ \sigma_{21} & \sigma_{22} \end{pmatrix}$$ Show that $$\mathbb E(Y_1^...
Kilkik's user avatar
  • 445
4 votes
1 answer
102 views

Expectation of two Quadratic form

Assume $\mathbf{h} \in C^{N \times 1}$ is a Gaussian vector with zero mean and Covariance matrix $\mathbf{R}$. Also $\mathbf{A} \in C^{N \times N}$ is a deterministic diagonal matrix. In this case, ...
Mahdi Eskandari's user avatar
6 votes
1 answer
110 views

Expected Value of the Difference Between the Powers of Two Randomly Selected Numbers From a Standard Normal Distribution

My question is similar to (and an extension of) this one. I select two values ($i$ and $j$) at random from a standard normal distribution. What is the expected value of $|x_i^n-x_j^n|$ for all integer ...
David Moore's user avatar
2 votes
1 answer
193 views

Expectation of the absolute value of the product of correlated jointly gaussians?

I am reading the Performer paper https://arxiv.org/abs/2009.14794. To understand their ReLU kernel used to approximate softmax attention, I need to evaluate $\mathbb{E}[ReLU(x^T w) \cdot ReLU(y^T w)]$ ...
N. Menet's user avatar
0 votes
0 answers
30 views

Computing the expected value of a new Normal Random Variable (transformation)

I have the following exercise to do: Let X be a normally distributed variable with mean μ and variance σ^2, i.e. X∼N(μ,σ^2). Define a new random variable to be Z=X^2−X. Compute the Expected Value of Z ...
RavenBoy7's user avatar

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