3
votes
2answers
40 views

Parity of the sum of consecutive Bernoulli random variables

$\newcommand{\Var}{\operatorname{Var}}$I have $X_1,X_2,\ldots,X_{n+1}$ i.i.d. rv, each $X_i$ is a Bernoulli rv with parameter $p$, i.e. $X_i \in \{0,1\}$, $P(X_i=0)=1-p$ and $P(X_i=1)=p$ with $0 \leq ...
1
vote
1answer
21 views

Conditional probability with a normal distribution

Given that Y and L are normally distributed, the expectation of L given Y is $\mu (Y)$ and the variance of L given Y is $\sigma ^2 (Y)$, why is the conditional probability $P(L > x| Y) = \Phi ...
0
votes
2answers
28 views

Conditional probability for random variables with different distributions

Random variables $X$ and $Y$ are independent, where $X$ is exponentially distributed with parameter $1$ and $Y$ has uniform distribution on $[-1,1]$ interval. Find $\mathbb{P}(Y>0|X+Y>1)$. My ...
0
votes
1answer
14 views

expected value product dependent random variables

My question is strictly operative, if I have, for instance, two random variables $X$ and $Y$, $X$ is a $\mathcal{N}(m,\sigma^2)$ and $Y=e^{h(X-m)-1/2(h^2\sigma^2)}$. $E[Ye^X]$ is $\int y e^x p(x) ...
0
votes
0answers
26 views

Normal approximation with dependent variables

I have a sequence of $N$ dependent random variables $$y_i = \frac{x_i}{||\vec x||_2} \quad \mathrm{for} \quad \vec x \sim \mathcal N(0,\mathbb{1}_N),$$ where the $x_i$ are the iid elements of $\vec ...
1
vote
1answer
42 views

Poisson, Gamma distribution example.

Can someone explain me answer for these questions? Suppose customers arrive at a store as a Poisson process with λ = 10 customers per hour. The Poisson process of X ∼ Poisson(λ) the time until k ...
3
votes
1answer
44 views

Uniform sampling with replacement item frequency

Suppose we are sampling from $N$ distinct items uniformly with replacement $M$ times. What can be said about the distribution of frequencies of items drawn? For example, if I sort all the frequencies ...
0
votes
2answers
36 views

Soccer and probability distributions

The USA soccer team is going to play a championship with 7 other tems. The 8 teams, are going to be divided in two groups of 4 each one. From the participants, Brazil is considered the strongest team ...
0
votes
0answers
15 views

Combination of exponential distribution and geometric distribution

I am trying to figure out the distribution times for dark times for the following process. An atom is prepared in state 1 (dark) and decays to state 2 with characteristic time scale T. From state 2 ...
0
votes
0answers
17 views

When is Complex Normal Distribution equal to Normal distribution for real numbers

Let $Z = X+ iY$ be a complex random vector with real and imaginary part equal to $X$ and $Y$ respectively. Assuming that $Z$ has complex Normal distribution, can we say that making $Y=0$, the ...
0
votes
1answer
23 views

Finding the conditional probability from a conditional distribution function

I'm taking a probability theory class and I'm having troubles with multivariate distributions. In particular, I don't really understand how to find conditional probabilities. Here's a question I'm ...
1
vote
1answer
37 views

Question about the Bayesian Inference of a parameter

In order to understand the difference between the Frequentist and Bayesian inference, I was reading the presentation at: http://www.stat.ufl.edu/archived/casella/Talks/BayesRefresher.pdf . In order to ...
1
vote
1answer
22 views

Probability: Gamma Function vs Gamma Distribution

Could someone help me with setting up the function of this question. I've been setting it up with the gamma distribution function but kept getting the wrong answer. What I did was I used the Gamma ...
-1
votes
1answer
63 views

Transforming distributions

There is an economy, populated by a large number of agents. A first order condition common to all agents, is the following: $$E[\exp^{(1-\theta)\eta_i}(r-R+\eta_i)]=0$$ the index $i$ indicates the ...
0
votes
3answers
44 views

Find $P(X+Y\le 0)$ given the joint probability function of $X$ and $Y$

I am struggling with part c of this question. Could someone please tell me how to approach and solve this type of questions?
1
vote
2answers
28 views

Identifying the distribution which represents a negative binomial distribution as a compound poisson distribution

Suppose that the random variable $X$, which has a negative binomial distribution with probability $p$ and parameter $r$, can be represented as the summation of $N$ iid random variables $Y_1, Y_2, ...
1
vote
1answer
9 views

Finding the percentile of a normally distributed variable

I'm taking a probability theory class and I'm stuck on a question. Here's the question: A manufacturing plant utilizes 3000 electric light bulbs whose length of life is normal distributed with mean ...
1
vote
0answers
29 views

Probability distribution of k consecutive successes with n maximum trials

Let $X$ be a random variable that represents the number of trials of a given experiment. The outcome of a single trial is a Bernoulli random variable, with probability of success $p$, and trials are ...
1
vote
2answers
60 views

Proof of, and requirements for, the reverse of Jensen's Inequality for concave functions

As I understand it, Jensen's Inequality states $$\int_{U}f_{V}\left(h(u)g(u)\right)du\geq f_{V}\left(\int_{U}h(u)g(u)du\right)$$ For a convex function $f_{V}$, a probability distribution $g(u)$ on ...
-2
votes
0answers
38 views

Characteristic functions

Here $E(Y)$ means the expected value of $Y$. 1) Could any one explain for me how to get from (2.7) to (2.8) ? 2) Why does the author know to define $\phi_1(u)$ and $\phi_2(u)$ in such a way? ...
0
votes
1answer
26 views

For which function $f$ is $1 \ll \sum_{i=1}^{n} i \cdot i^{-f(n)} \ll n$?

I am interested in the expected value of a power-law Distribution. I would like to let the Parameter $f(n)$ depend on $n$ for $n \rightarrow \infty$. And now I would like to determine $f(n)$ such ...
0
votes
1answer
23 views

Total law of probability in continuous space

I am finding little difficulty in the following definition of total probability specified in a NLP related paper. Say $q^i$ is a partition of my continuous sample space. The authors have defined the ...
1
vote
1answer
34 views

Closed-form term for this expression

I have a normal Distribution $X \sim N(\mu, \sigma)$. Is there an easy way to give an asymptotic estimate with small error (I would prefer with relative error $\rightarrow 0$) for $P[X \geq k]$? We ...
0
votes
1answer
24 views

Applying Markov's inequality to a sequence of random variables

Does the Markov inequality also work for infinite $a$ or only for constant $a$? More precisely: If $X(n)$ is a sequence of random variables and $f(n)$ is some sequence of numbers,is it allowed to ...
0
votes
0answers
28 views

Probability Distributions and Random Discrete Variables

How do you read this? For (a) do we let $X= 1/6, 1/2, 1/5$ and $2/15$ and sub into the equation, $$ Y=X^2-2X. $$ How do we go about solving this?
2
votes
1answer
31 views

Difference between $\lim P[…]$ and $P[ \lim ]$

In a Galton-Watson branching process the extinction probability is sometimes given by $$\lim_{t \rightarrow \infty} P[X(t)=0]$$ and sometimes as $$ P[\lim_{t \rightarrow \infty}X(t)=0]$$ Is there a ...
0
votes
1answer
23 views

Conditional Probability using a Matrix

I understand how to find P1: that is simply: P(D1|D0)=0.8 P(W1|D0)=0.2 P(D1|W1)=0.4 P(W1|W0)=0.6 I do not however, understand how to find P2 using the matrix. Normally I would solve it as ...
2
votes
1answer
49 views

Relation between uniformly distributed random variable and i.i.d Bernoulli sequence (Cantor space)

(Uniform RV <==> i.i.d Bernoulli sequence) (1) Let $(X_n)_n$ be a sequence of i.i.d. Bernoulli random variables($P(X_n=0)=P(X_n=1)=\frac 12$) on a probability space. Then show that $\xi:= \sum_n ...
1
vote
2answers
18 views

Proving the Probability of an Event Through Bayes Theorem.

The question goes as such: An event A can occur if only one of the mutually exclusive events B1, B2, or B3 occur. Show that P(A) = P(B1)P(A|B1)+P(B2)(A|B2)+P(B3)*(A|B3) my working out: P[A|(B1 U B2 ...
0
votes
0answers
34 views

Sampling and averaging in Monte Carlo Simulation

(First of all, I apologize for the vague title. Couldn't think of rather proper one.) Let's say that we have 10 items where each item has probability distribution of one's own, say Lognormal ...
1
vote
1answer
28 views

Expected Value of a mixed distribution

I have a question from my practice actuary exam... I understand one method of arriving at the answer, however the alternative method is giving me a bit of confusion! I have the lifetime of seismic ...
1
vote
2answers
29 views

Finding the mean and variance of an exponential probability distribution

I'm taking a probability theory course, and I'm struggling a bit with gamma and exponential distributions. Here's a question that I'm stuck on: The length of time Y necessary to complete a key ...
0
votes
2answers
53 views

Expectation of maximum of iid random variables

Let $X_1, X_2, \ldots, X_n$ be independent random variables having the common density function $f(x)$. We have $$f(x) = \begin{cases} 1 & \text{for } 0 < x < 1, \\ 0 & \text{otherwise} ...
0
votes
1answer
19 views

Bivariate Normal probability question

I have this homework question Suppose $(X,Y)\sim BN(u_x=0,u_y=0,w_x^2=1,w_y^2=1,p=-0.6)$. Find: a) $c$ such that $8X+10Y$ and $cX+5Y$ are independent b) $P(X<0,Y>0)$ My thoughts are (a) ...
0
votes
0answers
37 views

Sum of independent discrete random variable

Here is my attempt of deriving the sum of independent random variable in the discrete case : $\underline{\textbf{Sum of independent random variables}}$ Let $\mathcal{C_1}, \mathcal{C_2}$ be ...
0
votes
0answers
35 views

Do you know this theorem?

I have read the following Theorem: Suppose that $$(X_n(t_1), ..., X_n(t_k)) \rightarrow (X(t_1),...,X(t_k))$$ holds, whenever $t_1,...,t_k$ all lie in $T_P$, that $$P\{X(1) \neq X(1-)\}=0$$ and that ...
0
votes
1answer
24 views

(Multidimensional) Standard Brownian Motion: Convergence

Relating to this question, I have a further one, and hope, someone can help me. I know that $$\left(X_j - X_{j-1}\right)_{j=1}^t \xrightarrow{d} \left(Y_j\right)_{j=1}^t.$$ Further, we know that ...
0
votes
1answer
22 views

convergence to standard brownian motion

Could you help me with the following: I have that $$T(x):=\frac{X(nx)-E[X(nx)]}{\sqrt{n}} \xrightarrow{d} N(0, \frac{x^k}{k})$$ for each fixed $x>0$, where we also have that $\frac{X(nx)}{t}$ is ...
1
vote
1answer
23 views

Finding $P(X < Y)$, where $X$ and $Y$ have two different Beta distributions

I have two random variables, $X$ and $Y$, that have the distributions $$X \sim \beta(r_1 = 1, s_1 = 5) \qquad \text{and} \qquad Y \sim \beta(r_2 = 3, s_2 = 1)$$ I need to find $P(X < Y)$. I ...
1
vote
1answer
42 views

P.d.f of $X_{(1)}/X_{(n)}$

Let $X_{i} \sim U(0, \theta) $ and $X=(X_1,\dots,X_n)$. Find the pdf of $$ \frac{X_{(1)}}{X_{(n)}}$$ I coulxnt find a way of doing it that looks convenient. Any idea? P.s: $X_{(i)} $ are the order ...
0
votes
2answers
57 views

Probability distribution of $\min(X,Y)$ given that $\max(X,Y)>1/2$ [closed]

Suppose $X$ and $Y$ are two independent random variables. What is the value of $\Pr[\min(X,Y) \leq z \mid \max(X,Y) >1/2]$? They both follow a Uniform distribution with parameters 0 and 1
0
votes
0answers
12 views

Distribution of time derivative of a random variable

I am wondering how can i find the distribution of the derivative of a random variable. As a simple case i would like to start with Normal distribution, but would like to understand this for ...
1
vote
1answer
36 views

Distribution of $|X|$

Find the distribution of $|X|$ if $X \sim N(\mu, 1)$ My attempt: $$P(|X| \leq x) = F_X(x) - F_X(-x)$$ If $F$ denote the cumulative distribution of $X$, then $$P(|X| = x) = ...
0
votes
1answer
18 views

Show $P(X=n)=\left(\frac{1}{2}\right)^{n+1}$ for Poisson variable with exponentially distributed $\lambda$

I'm supposed to do the following, any help/pointer is appreciated: Suppose $X$ is Poisson distributed with mean $\lambda$. Suppose $\lambda$ is exponentially distributed with mean $1$. Show that ...
0
votes
0answers
26 views

Bayes Theorem with multiple observations

Let $H \in \{1,..,K\}$ be a discrete random variable and $e_1, e_2$ be observed values of 2 other random variable $E_1$ and $E_2$. We wish to calculate the vector ...
0
votes
0answers
8 views

Given MTTF and Number of Items, how to calculate failing parts with Time?

I am wondering how to make use of MTTF Here is the situation, I am given an MTTF for an item type x and a certain demand for that item in the next 25 years, say 100 parts that will be in operation ...
0
votes
1answer
34 views

How to increase winning chance in lottery [on hold]

Let us imagine such kind of lottery game :lottery machine is running and randomly is selecting $7$ number from $1$ to $36$(including).out of this $7$ numbers,$6$ are basic or in other word ,jackpot ...
0
votes
1answer
20 views

Let X be a random variable with PDF fx. Find the PDF of the random variable |X| in the following

Here's my question: X is uniformly distributed in the interval $[-1,2]$. Find pdf of $|X|$... So I did P($|X| \le x$) = P($-x \le X \le x$)... From here I'm not too sure how to proceed. I know the ...
0
votes
0answers
24 views

Relationship between quotient of sum of exponentials and uniform distributions

Let $X$, $Y$ and $Z$ be iid with $P(X>t)=e^{-t}$ for $t>0$. Let $U$, $V$ be independent uniform on $[0,1]$. Let $A=\min(U,V)$ and $B=\max(U,V)$. Show that $(A,B),$ and $(X/(X+Y+Z), ...
1
vote
1answer
40 views

If $f$ is a pdf can we construct $g$ such that $x\sim U[0,1)$ implies $g(x)\sim f$

Let $f$ be some pdf over $[0,1)$. Here is my question: does there always exist an infinite partition $\{X_{s}\}_{s\,\in\, \mathrm{support}(f)}$ of $[0,1)$ such that if we define $g(x):[0,1)\rightarrow ...