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Questions tagged [expected-value]

The expected value of a random variable is a weighted average of all possible values a random variable can take on, with the weights equal to the probability of taking on that value.

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Expected value of a decreasing function of two random variables

My question is exactly equal to the question posted at Expected value of decreasing function of random variable versus expected value of random variable with just one extra assumption: the two random ...
irodr's user avatar
  • 1
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0 answers
39 views

Bayesian Fubini Tonelli

I am working on a bayesian framework where I place a Gaussian Process on my function $f\sim GP$ and have data $D^n=\{(X_i,Z_i,W_i)\}^n$. I then have the posterior measure $\mu(f|D^n)$. The posterior ...
xcesc's user avatar
  • 90
5 votes
1 answer
37 views

Validating binary prediction model

Suppose we have a model that predicts for binary event $e$ ($0$ or $1$) with a single output $p$ (the expected probability $e$ occurs). If we are able to compare $p$ with the true value of $e$ ($0$ or ...
shrizzy's user avatar
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1 vote
3 answers
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Deriving home vs away goals - using total expected goals and home/draw/away probabilities

In the context of a football ("soccer") match, if I have the following for a single game: Probability of Team A winning Probability of Team B winning Probability of a draw The total goals ...
Philby_Walsh's user avatar
5 votes
1 answer
104 views

$E[(X+Y)^{a}] > E[(X)^{a}]$?

Assume I have two strictly positive i.i.d. random variables, $X$ and $Y$. Under what conditions is the following inequality true? $$E[(X+Y)^{a}] > E[(X)^{a}], \hspace{2mm} a \in (0,1)$$ Should have ...
econ_ugrad's user avatar
3 votes
1 answer
275 views

Probability algorithm on strings

Let $x$ be any binary string $\in (0,1)^*.$ The majority language is given by: $$\text{MAJ}:=\{x\in (0,1)^*:\sum_{i=1}^ {|x|}x_i>\frac{|x|}{2}\},\text{where $x_i$ is the $i$-th position value(...
D. S.'s user avatar
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5 votes
1 answer
114 views

Need help in calculating $\mathbb{E}(\frac{1}{x_{(2)}-x_{(1)}}\int_{x_{(1)}}^{x_{(2)}} f(t) \ dt)$, where $x_{(i)}$ are related Beta distribution

Suppose $Y, Z \stackrel{\text{iid}}{\sim}\mathrm{Uniform}(0,1)$. Let $a = g(\min(y,z)),\ b=g(\max(y,z)).$ How can I calculate the expectation $$\mathbb{E}\left[\frac{1}{b-a}\int_a^b f(t) \ dt\right]$$ ...
learner's user avatar
  • 171
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0 answers
78 views

Derive the expectation and variance of squared sample correlation: delta-method or else?

I would like to obtain the expectation and variance of the squared Pearson sample correlation ($\operatorname{E}(R_{lk}^2)$ and $V(R_{lk}^2)$) between two random variables $l$ and $k$ following a ...
CafféSospeso's user avatar
1 vote
1 answer
26 views

Why does $E(V_n/(n+2)-1)^2=2/(n+2)$ when $V_n\sim\chi^2(n)$?

I was reading some lecture notes when I saw a simplification I didn't understand. Specifically, we have $V_n\sim\chi^2(n)$. It was then written then $$E\left(\frac{1}{n+2}V_n-1\right)^2=\frac{2}{n+2}.$...
Anon's user avatar
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Expectation of $u^\top(u+Ax)$, when $A$ and $u$ are nonlinear functions of $x$

Let $x\in\mathbb R^d$, and $s=\operatorname{softmax}(x)$. Let $y$ be a fixed one-hot vector such that $$u = s-y \\ v =(\operatorname{diag}(s) - ss^\top)x$$ I am interested in the inequality $u^\top (u ...
Phoenix's user avatar
  • 101
1 vote
0 answers
16 views

Expected value of Cosinus in High dimension

I would like to prove that the cosinus of the angle formed by 3 randomly points tends to $\frac{1}{2}$ as the dimensionality tends to $\infty$. Could it be solved with the expected value formula ? It ...
Jérémy's user avatar
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0 answers
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Expectation over cost-normalized Expected improvements

Are the following two expressions equivalent if we assume the independence of f(x) and C(x)? $$ E\left[\frac{E\left[\max\left(f(x) - f(x^*), 0\right)\right]} {C(x)}\right] $$ $$ \frac{E\left[\max\...
Ridwan Salahuddeen's user avatar
1 vote
0 answers
33 views

Expectation & Covariance matrix of indicator vector

Suppose we have the $p$-dimensional random vector $\boldsymbol{X} \sim \mathcal{N}(\boldsymbol{\mu}, \Sigma)$. Take the set $A$ to be (without loss of generality) the negative real line, thus $A = (- \...
HeyCool08's user avatar
1 vote
0 answers
68 views

How to calculate the expectation of the following Dirichlet distribution and Beta distribution?

This is a question from my research, related to the derivation of the variational EM algorithm with mean-field assumption about LDA-based model. We all know, given that $\boldsymbol{\theta} \sim \...
Henry Zha's user avatar
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0 answers
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Verifying the integrability condition of a deterministic volatility function

Suppose there is integrability condition: \begin{equation} \mathbb{E}\left[\int_0^T\frac{\sigma^2(t)}{T-t}dt\right]<\infty \end{equation} for an arbitrary volatility function. Suppose I nominate ...
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