Questions tagged [random-variables]
Questions about maps from a probability space to a measure space which are measurable.
9 questions from the last 30 days
3
votes
2
answers
258
views
Blind Spot Regarding the Correlation Coefficient
I've noticed that there is a strange unexplained thing about Pearson correlation coefficient
$$\rho(X,Y) = \frac{\operatorname{Cov} (X,Y)}{\sqrt {\operatorname{Var}X} \sqrt {\operatorname{Var}Y}
}$$
...
- 163
2
votes
1
answer
42
views
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 ...
- 766
6
votes
4
answers
387
views
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 ...
- 1,059
3
votes
1
answer
70
views
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
$$Y_1 = X_1 + 2X_2, \qquad Y_2 = 2X_1 ...
- 377
2
votes
2
answers
128
views
Intuitive Explanation for Convergence in Probability and Convergence in Distribution
Having a bit of trouble with the definitions for convergence in probability and convergence in distribution for random variables. The textbook (Degroot) defines each as follows:
Convergence in ...
- 21
0
votes
1
answer
68
views
How is the normalization property(i.e.the sum equals 1)of the joint probability mass function for a two-dimensional discrete random variable ensured?
In the following,we assume that two-dimensional discrete random variables $\vec{X}=[X_1,X_2]$ on $\mathbb{R} ^2$,and the range of values for both $X1$ and $X2$ is countably infinite,and they are ...
- 161
5
votes
1
answer
290
views
Question regarding Jensen's inequality when it comes to logarithm
Let $X$ be a real-valued random variable, and define its moment generating function (MGF) as
$$
M_X(s) = \mathbb{E}[e^{sX}],
$$
where $\mathbb{E}[\cdot]$ denotes the expected value of the random ...
- 191
3
votes
1
answer
106
views
Derivation of Diffusion Equation in 1-D
I am trying to rigorously derive the diffusion equation, given by
$$
\frac{\partial u}{\partial t} = D\,\frac{\partial^2 u}{\partial x^2},
\qquad
D = \frac{h^2}{2\tau}.
$$
from a simple one-...
- 3,585
0
votes
0
answers
56
views
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 ...
- 41