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Mean squared error of MLE of $\theta$ where $f(x) = 3 \theta e^{-\theta x^3}...

Given $f(x) = 3 \theta e^{-\theta x^3} 1_{(0,\infty)}(x)$ I want to find the MSE of the MLE estimator for $\theta$. I've found that $\hat{\theta} = \frac{n}{\sum_{i=1}^n X_i^3} = \frac{1}{\bar{X^3}}$.I...

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Mean squared error of MLE of $\theta$ where $f(x) = 3x^2 \theta e^{-\theta...

Given $f(x) = 3x^2 \theta e^{-\theta x^3} 1_{(0,\infty)}(x)$ I want to find the MSE of the MLE estimator for $\theta$. I've found that $\hat{\theta} = \frac{n}{\sum_{i=1}^n X_i^3} =...

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Find the expected value of the sum of squares of the residuals.

Question: In $\mathbb{R}^2$, it is given $n$ points $(x_i,Y_i)$, where $x_i$ are known constants, and given independent random variables $Y_i\sim U(l_i,r_i)$. Fit a straight line through these $n$...

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Proof of E(X * E(X|Y)) [closed]

I'm seeking a proof for the expression E(X * E(X|Y)), where X and Y are random variables. I'm particularly interested in understanding how this expression is derived rather than just its...

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Analytical solution for minimizing a functional involving a double integral

The core of diffusion models in machine learning is to find a denoiser function to approximate the diffusion noise. However, under simple settings, I would like to know if the optimal "denoiser" $f$ is...

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Integral with two Exponential Distributions

X~exp($\lambda$) and Y~ exp($\mu$) are two independent variables.I am trying to figure out how to solve for $E[X^{\theta -1} 1_{X<Y}]$.I believe this could be expressed...

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Formula for expectation as an integral of probability [duplicate]

I am trying to prove that for a random variable $X$,$$E(X)=\int_{[0,\infty)}P(X\geq x)dx$$I thought about first proving it for simple functions and then using monotone convergence to get nonnegative...

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Expected Maximum Value of 10 Randomly Selected Balls from an Urn

There are $20$ balls in an urn labeled from $1$ to $20$.You randomly pick $10$ balls out of this urn. What is the expected maximum value of the $10$ balls you picked out?I was able to solve the problem...

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Expected value of removing k elements and computing the penalty [closed]

Let's imagine the following situation, you have $n$ numbers from $1$ to $n$ in a row and you've removed one element from the sequence, chosen equiprobably, $k$ times. Now let's define the penalty, to...

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Calculate expected value of a function of IID samples

Suppose $X$ is a random variable and $E[X] = \mu$. We define random variable $T$ that for every IID sample $S = \{x_1,..., x_n\}$, then $T(S) = \frac{1 + \sum\limits_1^n x_i}{n}$.Although it is obvious...

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Expected number of rolls until all dice are removed (followup)

Suppose we roll $n$ dice, remove all the dice that come up 1, and roll the rest again. If we repeat this process, eventually all the dice will be eliminated. How many rolls, on average, will we make?I...

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Related to Laplace Transform and Expectation operator

in my research work I came across the following expression:$P_1 = \mathbb{E}_{I}\bigl[\exp(-\tau\cdot f\cdot I)\bigr]$---(1)where $f,\tau$ are constant and $I$ is random variable.$P_2 =...

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Efficient way of choosing lottery ticket numbers

You want to buy a given number $n$ of lottery tickets, in each of which you have to guess exactly 6 numbers from 1 to 100. If you get 0 or 1 numbers right, you don't get any money. If you get $i>1$...

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Expected number of collsions in hashing

Suppose we use a hash function h to hash n keys into m slots. Assuming simple uniform hashing, what is the expected number of collisions? (CLRS, 3rd edition, problem 11.2-1)My solution is as...

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A problem of probability which is related to recursion in a game

Recently I have been playing a game called Warframe. I found a curious problem of probability for me in the game. I don't know how to calculate it, so I want to ask for help.The problem could be...

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An upperbound for the variance of mean estimator in higher dimensions

I am trying to learn from the paper [paper] http://proceedings.mlr.press/v139/karimireddy21a/karimireddy21a.pdf[proofs] http://proceedings.mlr.press/v139/karimireddy21a/karimireddy21a-supp.pdf ,where...

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Show that the generating function $g_Y$ of $Y$ is given by $g_Y(z) =...

Given: Let $X$ and $Y$ be two discrete random variables with values in $\mathbb{N}_0$, such that $P(Y = k) = \frac{P(X > k)}{E[X]}$ for all $k \in \mathbb{N}$.Show that the generating function $g_Y$...

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Expected and Variance of the Squared Sample Correlation

I would like to obtain the expectation and variance of the squared sample correlation ($\operatorname{E}(R_{lk}^2)$ and $V(R_{lk}^2)$) between two random variables $l$ and $k$ following a bivariate...

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Expectation of $\mathbb{E}[\sum \delta_i / \sum T_i ]$

Let $T = \min\{X,C\}$, where $X \sim \mathsf{Exp}(\lambda)$ and $C \sim \mathsf{Exp}(\theta)$, $X$ and $C$ independent. Let $\delta$ be a random variable such that $\delta = 1$ if $X \leq C$ and...

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What is the expectation of the Dirac delta function of a random variable

I have a Dirac delta function as follows:$\delta_{\epsilon = y}$ where $\epsilon \sim N(0, \sigma^2)$, and $y \in \mathbb{R}$. I want to take the expectation of this function, but it appears that it...

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