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I wrote the following function to predict the posterior probability of being in the zero-inflation state for the discrete zero-inflated families in `brms`. If of interest, I'll submit a PR with doc +…
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**Github username:** --
**Twitter username:** --
**Submission hash (on-chain):** 0xec7bc17cdbb6208d02f4a0ac0ea20b9ec3edd1f02deacab6e2ed24110ac2450f
**Severity:** high
**Description:**
## Impact
Loss…
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# Lines of code
https://github.com/code-423n4/2024-05-olas/blob/main/tokenomics/contracts/Dispenser.sol#L911
# Vulnerability details
## Impact
If during an epoch, the total weight is zero, then th…
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After discussing with Francis Hui, the key ideas are as follows:
- zero inflation means a distribution of 0s, plus a distribution that might already contain 0s.
- truncation means a distribution o…
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The ZI models in `discrete.count_model` use either Logit or Probit as inflation model.
This requires that prob(inflation) > 0 and prob(inflation) -> 0 iff xb -> - inf
That is we don't reach the …
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Hi all,
Loving the tool and have been playing around with it. I haven't delved too far into the gsVA/ssGSEA code, so that might be addressed there. Feel free to close if you do. But my thought is, …
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add posterior predictive check to the most up-to-date BSS model located on the Drano branch (file name "BSS_creel_model_02_2024-04-03.stan")
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I wrote separate tests for zero-inflation and over dispersion in Poisson.
more general:
- score test for other count models, distributions, NB, Binomial
- joint test for both, or test for one tha…
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looks kind of interesting, adding zero inflation or inflation at other points to ordered probit.
(I didn't really look at the articles.)
the first article is still in early view, not yet in an iss…
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How would you be dealing with a couple years with 0% or 100% encounters given that you're using a zero inflation count-data model ?