Questions tagged [random-variables]
Questions about maps from a probability space to a measure space which are measurable.
12,559 questions
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What is probability distribution function of the sum of two independent random variables when one variable is correlated with itself?
Suppose we have the sum of random, independent variables
$$
Z_{ij} = X_i + Y_{ij},
$$
where $X_i \sim \text{Uniform}(-d, d)$ and $Y_{ij} \sim \text{Normal}(\mu, \sigma)$. Given that only one sample of ...
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Alternative proofs for chebyshev inequality
I have heard that the original proof of Chebyshev's inequality did not utilize Markov's inequality. I am interested:
To know whether this is true/accurate?
Any other alternative proof for Chebyshev's ...
3
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1
answer
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Definition of tightness
Recently, I read some materials on tightness of random variables and probability measures. There are two definitions:
Definition 1. A sequence of random variables $(X_n)_{n \ge 1}$ is tight if for ...
3
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2
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Blind Spot Regarding the Correlation Coefficient
I've noticed that there is a strange unexplained thing about Pearson correlation coefficient
$$\rho(X,Y) = \frac{\operatorname{Cov} (X,Y)}{\sqrt {\operatorname{Var}X} \sqrt {\operatorname{Var}Y}
}$$
...
2
votes
1
answer
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complete measurable space with respect to pushforward measure
Let $(\Omega, \mathcal{A}, \mathbb{P})$ be a probability space and let $(\mathcal{X}, \mathcal{F})$ be a measurable space and $X:(\Omega, \mathcal{A})\rightarrow (\mathcal{X}, \mathcal{F})$ a random ...
6
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4
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Expectation of an absolute value
Let $X,Y$ be two i.i.d.
I am trying to bound the expectation of how afar from one another they can get?
That is, $E[|X-Y|]$. I know that:
$$ E[X-Y] = E[X]- E[Y] = 0$$
But what about $|X-Y|$?
One ...
3
votes
1
answer
81
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Conditional probability for linear combinations of independent exponentials
I am working on the following exercise.
Let
$$X_1 \sim \mathrm{Exp}\left(\tfrac12\right), \qquad
X_2 \sim \mathrm{Exp}\left(\tfrac12\right),$$
independent. Define
$$Y_1 = X_1 + 2X_2, \qquad Y_2 = 2X_1 ...
2
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2
answers
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Intuitive Explanation for Convergence in Probability and Convergence in Distribution
Having a bit of trouble with the definitions for convergence in probability and convergence in distribution for random variables. The textbook (Degroot) defines each as follows:
Convergence in ...
0
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1
answer
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How is the normalization property(i.e.the sum equals 1)of the joint probability mass function for a two-dimensional discrete random variable ensured?
In the following,we assume that two-dimensional discrete random variables $\vec{X}=[X_1,X_2]$ on $\mathbb{R} ^2$,and the range of values for both $X1$ and $X2$ is countably infinite,and they are ...
5
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Question regarding Jensen's inequality when it comes to logarithm
Let $X$ be a real-valued random variable, and define its moment generating function (MGF) as
$$
M_X(s) = \mathbb{E}[e^{sX}],
$$
where $\mathbb{E}[\cdot]$ denotes the expected value of the random ...
3
votes
1
answer
116
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Derivation of Diffusion Equation in 1-D
I am trying to rigorously derive the diffusion equation, given by
$$
\frac{\partial u}{\partial t} = D\,\frac{\partial^2 u}{\partial x^2},
\qquad
D = \frac{h^2}{2\tau}.
$$
from a simple one-...
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0
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Can we have a random variable with mixed joint distribution resulting in a singular and a non-singular marginal distribution?
This question may be a little trivial, but I was wondering if we can construct a bivariate (or multivariate) probability distribution function in a way that we have a mix of a singular and an ...
6
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1
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Median wealth after repeated iterations of multiplicative game?
I start with \$1. After one iteration of a game, one of the following $m$ outcomes occurs:
With probability $p_1$, my wealth multiplies by $r_1$;
With probability $p_2$, my wealth multiplies by $r_2$;...
0
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1
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64
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Does decomposition of PDFs guarantee independence of random variables?
Is this conjecture correct? If not, can it be modified to a correct one:
Let $X,Y$ be continuous RVs with joint PDF $f(x,y)$. Then $X,Y$ are independent iff there exists functions $g, h$ such that $$...
1
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1
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Commutant of random linear combination of matrices
I'm not too familiar with random matrix theory so I cannot find a suitable reference for this question.
Consider a set of matrices $\{A_i\}_{i=1}^k\subseteq M_{d\times d}$ over the complex field and ...