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0 votes
1 answer
74 views

Seeking Algorithm to Solve a Convolution Integral or Directly Convolve Two CDFs

Hi everyone, I'm working on a project where I need to find a way to directly convolve two cumulative distribution functions (CDFs) given in polynomial form, and solve the following convolution ...
guttf's user avatar
  • 19
0 votes
0 answers
59 views

Is the convolution between two CDF always well defined?

Given the integral convolution: $$(F_X * G_X)(x)=\int_{-\infty}^x F_X(t)G_X(x-t)dt $$ and also that the CDF of random variables are bounded between the interval $(0,1)$ and the flipping of one of them ...
Daniel Muñoz's user avatar
0 votes
0 answers
35 views

Dependent random variables whose convolution adds up

I want to find two dependent random variables $X$ and $Y$ with values in $\mathbb{Z}$ such that $P_X\star P_Y=P_{X+Y}$, where $\star$ is the convolution. What I've tried: I was "tickling" ...
Christoph Mark's user avatar
0 votes
0 answers
61 views

Probability density function of three independent random variables

I will try to describe the question first and how i solve the problem. Here we have three independent random variable $X,Y,Z$ and $S_3=X+Y+Z$, the probability density function of three variable are ...
Joe_LL's user avatar
  • 1
1 vote
1 answer
71 views

How does this density function make sense?

Let $X$ be an exponentially distributed random variable with parameter $\beta>0$ and let $Y$ be a random variable with $P(Y=0)=1-p$ and $P(Y=1)=p$, where $0<p<1$. Assume that $X$ and $Y$ are ...
Selby Ching's user avatar
1 vote
0 answers
46 views

Sum of two random variables (General Formula)

Rather than attempt to derive a general expression for the distribution of $X + Y$ in the discrete case, we shall consider some examples. (Ross, A First Course in Probability, Section 6.3.4) The ...
Starlight's user avatar
  • 1,834
0 votes
1 answer
100 views

Convolution of two exponential functions where x > 0

Assuming $X$ and $Y$ are i.i.d. random variables let $Z = X + Y$ $$ f_X(x) = \begin{cases} \lambda e^{- \lambda x} & x \gt 0 \\ 0 & \text{else} \end{cases} $$ $$ f_Y(y) = \...
oatmeal's user avatar
  • 53
2 votes
2 answers
141 views

Convolution of two uniform probability densities (two square waves)

Assuming $X$ and $Y$ are i.i.d. random variables let $Z = X + Y$ $$ f_X(x) = f_Y(y) = \begin{cases} 1/2 & -1 \le x \le 1 \\ 0 & \text{else} \end{cases} $$ Find the density ...
oatmeal's user avatar
  • 53
0 votes
0 answers
62 views

Conditions for independence of sum of i.i.d. random variables from remaining

Previously I asked the following question, that does not generally hold: The following question is very similar to this reference. Let $(X_{1},X_{2},X_{3})$ be a random vector with continuous ...
cody_tastic's user avatar
1 vote
2 answers
82 views

Why does the convolution of two probability density functions not work as expected?

I have two independent random variables, $X \sim exp(\lambda)$ and $Y \sim unif(-1,0)$. I would like to compute the density function $f_Z(z) = \int_{-\infty}^{\infty} f_Y(y) f_X(z-y) dy$, where $Z = X ...
Riccardo's user avatar
0 votes
1 answer
80 views

Does KL divergence keep order under convolution? [closed]

Suppose there are three random variables $X,Y,Z$ such that $$D_{KL}(X,Y)\leqslant D_{KL}(X,Z)$$ And there is an independent (with respect to $X,Y,Z$) Gaussian noise $\xi\sim N(0,1)$. Can we say the ...
Crayon's user avatar
  • 23
1 vote
1 answer
93 views

Computing the sum of two i.i.d uniform random variables inside a unit disk?

I'm trying to find the sum of two independent variables $A$ and $B$ whose densities are defined as follows: $$f_A(x,y)=\frac{1}{\pi}, \sqrt{x^2+y^2}\le1$$ and $$f_B(x,y)=\frac{1}{\pi}, \sqrt{x^2+y^2}\...
Igor Yegin's user avatar
0 votes
2 answers
131 views

How to compute the PDF of $Z=XY$

After the answer I got, I'm interested in the case for computing the PDF of a random variable $Z=XY$, and $X, Y$ are independent. The convolution of PDF describe the PDF of the sum of two random ...
Daniel Muñoz's user avatar
0 votes
1 answer
89 views

What is the correct way of compute PDF of $Y=2X$

Let $X$ be a random variable and $X\sim U(0,1)$. Define a new random variable $Y=2X$, What is the PDF of $Y$, $f_Y(y)$? If $f_Y(y)$ is calculated as the convolution of the PDF of $X$, $f_X(x)$ with ...
Daniel Muñoz's user avatar
4 votes
1 answer
391 views

How do I find the probability distributions for multiple dice rolls for dice with a differing number of sides?

I have been learning how to play Dungeons and Dragons recently, and have bought my first set of dice. The standard DnD dice are: 1d4 1d6 1d8 1d10 1d10 × 10 [10, 20, 30... 90, 100] 1d12 1d20 I was ...
Alfie Stoppani's user avatar

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