Hypergeometric distribution with heterogeneous sampling probabilitiesDesigning an efficient sampling strategyProblems sampling from a $pdf$ over $SOleft(3right)$Number of draws needed to get a positive element using a *weighted* sampling without replacementIs there a known simple mental approximation to a hypergeometric distribution?hypergeometric distribution and random samplingSampling with independent probabilitiesSampling without Replacement…Hypergeometric distributionShow that estimating the median of a finite population is better done by sampling without replacementWhat is the asymptotic distribution of the right singular vectors of a matrix with multivariate gaussian sampled rows?Sampling from probability distribution via multiplying probabilities by a uniform random number
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Hypergeometric distribution with heterogeneous sampling probabilities
Designing an efficient sampling strategyProblems sampling from a $pdf$ over $SOleft(3right)$Number of draws needed to get a positive element using a *weighted* sampling without replacementIs there a known simple mental approximation to a hypergeometric distribution?hypergeometric distribution and random samplingSampling with independent probabilitiesSampling without Replacement…Hypergeometric distributionShow that estimating the median of a finite population is better done by sampling without replacementWhat is the asymptotic distribution of the right singular vectors of a matrix with multivariate gaussian sampled rows?Sampling from probability distribution via multiplying probabilities by a uniform random number
$begingroup$
I have been trying to find a proper framework for finding the corresponding generalization of the hypergeometric distribution when the sampling probability from the total items $N$ is not uniform.
That is, let's assume we have a categorical distribution $p_i$ that gives the drawing probability of item $i$. Now, if we take two samples of sizes $K$ and $n$, I am interested in the distributions of the overlap $k$ between these samples. Also, the form of $p_i$ is known, but I expect that the final distribution could be written in a closed form with some well-defined sum of powers of $p_i$ (based on my very preliminary calculations on $n$ and $K$ values less than 3...).
So far what I know is that the generalizations of the hypergeometric distribution commonly known in the literature don't really correspond to this problem (multivariate hypergeometric or Wallenius / Fisher noncentral hypergeometric).
Any suggestion would be highly appreciated.
probability-distributions sampling
New contributor
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add a comment |
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I have been trying to find a proper framework for finding the corresponding generalization of the hypergeometric distribution when the sampling probability from the total items $N$ is not uniform.
That is, let's assume we have a categorical distribution $p_i$ that gives the drawing probability of item $i$. Now, if we take two samples of sizes $K$ and $n$, I am interested in the distributions of the overlap $k$ between these samples. Also, the form of $p_i$ is known, but I expect that the final distribution could be written in a closed form with some well-defined sum of powers of $p_i$ (based on my very preliminary calculations on $n$ and $K$ values less than 3...).
So far what I know is that the generalizations of the hypergeometric distribution commonly known in the literature don't really correspond to this problem (multivariate hypergeometric or Wallenius / Fisher noncentral hypergeometric).
Any suggestion would be highly appreciated.
probability-distributions sampling
New contributor
$endgroup$
$begingroup$
Welcome to Mathematics Stack Exchange! A quick tour will enhance your experience. Here are helpful tips to write a good question and write a good answer. For equations, please use MathJax.
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– dantopa
Mar 12 at 21:41
add a comment |
$begingroup$
I have been trying to find a proper framework for finding the corresponding generalization of the hypergeometric distribution when the sampling probability from the total items $N$ is not uniform.
That is, let's assume we have a categorical distribution $p_i$ that gives the drawing probability of item $i$. Now, if we take two samples of sizes $K$ and $n$, I am interested in the distributions of the overlap $k$ between these samples. Also, the form of $p_i$ is known, but I expect that the final distribution could be written in a closed form with some well-defined sum of powers of $p_i$ (based on my very preliminary calculations on $n$ and $K$ values less than 3...).
So far what I know is that the generalizations of the hypergeometric distribution commonly known in the literature don't really correspond to this problem (multivariate hypergeometric or Wallenius / Fisher noncentral hypergeometric).
Any suggestion would be highly appreciated.
probability-distributions sampling
New contributor
$endgroup$
I have been trying to find a proper framework for finding the corresponding generalization of the hypergeometric distribution when the sampling probability from the total items $N$ is not uniform.
That is, let's assume we have a categorical distribution $p_i$ that gives the drawing probability of item $i$. Now, if we take two samples of sizes $K$ and $n$, I am interested in the distributions of the overlap $k$ between these samples. Also, the form of $p_i$ is known, but I expect that the final distribution could be written in a closed form with some well-defined sum of powers of $p_i$ (based on my very preliminary calculations on $n$ and $K$ values less than 3...).
So far what I know is that the generalizations of the hypergeometric distribution commonly known in the literature don't really correspond to this problem (multivariate hypergeometric or Wallenius / Fisher noncentral hypergeometric).
Any suggestion would be highly appreciated.
probability-distributions sampling
probability-distributions sampling
New contributor
New contributor
edited Mar 13 at 9:44
Cettt
1,888622
1,888622
New contributor
asked Mar 12 at 21:26
enysenys
1012
1012
New contributor
New contributor
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Welcome to Mathematics Stack Exchange! A quick tour will enhance your experience. Here are helpful tips to write a good question and write a good answer. For equations, please use MathJax.
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– dantopa
Mar 12 at 21:41
add a comment |
$begingroup$
Welcome to Mathematics Stack Exchange! A quick tour will enhance your experience. Here are helpful tips to write a good question and write a good answer. For equations, please use MathJax.
$endgroup$
– dantopa
Mar 12 at 21:41
$begingroup$
Welcome to Mathematics Stack Exchange! A quick tour will enhance your experience. Here are helpful tips to write a good question and write a good answer. For equations, please use MathJax.
$endgroup$
– dantopa
Mar 12 at 21:41
$begingroup$
Welcome to Mathematics Stack Exchange! A quick tour will enhance your experience. Here are helpful tips to write a good question and write a good answer. For equations, please use MathJax.
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– dantopa
Mar 12 at 21:41
add a comment |
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Welcome to Mathematics Stack Exchange! A quick tour will enhance your experience. Here are helpful tips to write a good question and write a good answer. For equations, please use MathJax.
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– dantopa
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