Show that the conditionnal distribution of Y1| $cq(Y1)U1 leq p(Y1)$ is given by the mass function p on $mathbb N$ The 2019 Stack Overflow Developer Survey Results Are InConditioning on zero probability eventFind the probability mass function of the (discrete) random variable $X = Int(nU) + 1$.Find the distribution of $Z=min n: U_n leq h(n) $Recognize the distribution corresponding to this characteristic functionInverse distribution functionShow that the conditional distribution follows uniform distributionConstruct a sequence of i.i.d random variables with a given a distribution functionFinding the probability mass function given the cumulative distribution functionComputing the distribution functionFinding the best probability distribution given a set of probability distributions.
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Show that the conditionnal distribution of Y1| $cq(Y1)U1 leq p(Y1)$ is given by the mass function p on $mathbb N$
The 2019 Stack Overflow Developer Survey Results Are InConditioning on zero probability eventFind the probability mass function of the (discrete) random variable $X = Int(nU) + 1$.Find the distribution of $Z=min n: U_n leq h(n) $Recognize the distribution corresponding to this characteristic functionInverse distribution functionShow that the conditional distribution follows uniform distributionConstruct a sequence of i.i.d random variables with a given a distribution functionFinding the probability mass function given the cumulative distribution functionComputing the distribution functionFinding the best probability distribution given a set of probability distributions.
$begingroup$
Let $Z$ be a discrete random variable, and her distribution is given by the function $p$, $p(k) = P [Z = k]$.
Suppose we know how to simulate another discrete random variable $Y$ her distribution is given by the function $q$, $q(k)=P[Y =k]$ and such that we have $ ∃c>1, ∀k∈N, p(k)≤cq(k)$
For the exercise we consider $(Y_n)_n geq 1$ a sequence of random variable i.i.d. with the same distribution than $Y$ and $ (U_n)_n geq 1$
a sequence of random variable i.i.d. uniform on $[0,1]$ and independant from $(Y_n)_n geq 1$.
Let $tau$ = inf $ngeq1, cq(Y_n)U_n ≤ p(Y_n)$ .
I want to show that the conditional distribution of $Y1$| $cq(Y1)U1 leq p(Y1)$ is given by the mass function $p$ on $mathbb N$
probability probability-theory probability-distributions conditional-probability
$endgroup$
add a comment |
$begingroup$
Let $Z$ be a discrete random variable, and her distribution is given by the function $p$, $p(k) = P [Z = k]$.
Suppose we know how to simulate another discrete random variable $Y$ her distribution is given by the function $q$, $q(k)=P[Y =k]$ and such that we have $ ∃c>1, ∀k∈N, p(k)≤cq(k)$
For the exercise we consider $(Y_n)_n geq 1$ a sequence of random variable i.i.d. with the same distribution than $Y$ and $ (U_n)_n geq 1$
a sequence of random variable i.i.d. uniform on $[0,1]$ and independant from $(Y_n)_n geq 1$.
Let $tau$ = inf $ngeq1, cq(Y_n)U_n ≤ p(Y_n)$ .
I want to show that the conditional distribution of $Y1$| $cq(Y1)U1 leq p(Y1)$ is given by the mass function $p$ on $mathbb N$
probability probability-theory probability-distributions conditional-probability
$endgroup$
add a comment |
$begingroup$
Let $Z$ be a discrete random variable, and her distribution is given by the function $p$, $p(k) = P [Z = k]$.
Suppose we know how to simulate another discrete random variable $Y$ her distribution is given by the function $q$, $q(k)=P[Y =k]$ and such that we have $ ∃c>1, ∀k∈N, p(k)≤cq(k)$
For the exercise we consider $(Y_n)_n geq 1$ a sequence of random variable i.i.d. with the same distribution than $Y$ and $ (U_n)_n geq 1$
a sequence of random variable i.i.d. uniform on $[0,1]$ and independant from $(Y_n)_n geq 1$.
Let $tau$ = inf $ngeq1, cq(Y_n)U_n ≤ p(Y_n)$ .
I want to show that the conditional distribution of $Y1$| $cq(Y1)U1 leq p(Y1)$ is given by the mass function $p$ on $mathbb N$
probability probability-theory probability-distributions conditional-probability
$endgroup$
Let $Z$ be a discrete random variable, and her distribution is given by the function $p$, $p(k) = P [Z = k]$.
Suppose we know how to simulate another discrete random variable $Y$ her distribution is given by the function $q$, $q(k)=P[Y =k]$ and such that we have $ ∃c>1, ∀k∈N, p(k)≤cq(k)$
For the exercise we consider $(Y_n)_n geq 1$ a sequence of random variable i.i.d. with the same distribution than $Y$ and $ (U_n)_n geq 1$
a sequence of random variable i.i.d. uniform on $[0,1]$ and independant from $(Y_n)_n geq 1$.
Let $tau$ = inf $ngeq1, cq(Y_n)U_n ≤ p(Y_n)$ .
I want to show that the conditional distribution of $Y1$| $cq(Y1)U1 leq p(Y1)$ is given by the mass function $p$ on $mathbb N$
probability probability-theory probability-distributions conditional-probability
probability probability-theory probability-distributions conditional-probability
edited Mar 31 at 20:58
Farouk Deutsch
asked Mar 30 at 23:27
Farouk DeutschFarouk Deutsch
1239
1239
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