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Hi,
We spotted an apparent bias in the inverse cumulative poisson distribution function,
looking deeper, we found boost is generating different results when compared with scipy and statslib (https…
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see #2297 for implementation and use
local FDR is based on Efron Statistical Science 2008, with reference to R package
that paper refers to
Efron, Bradley; Tibshirani, Robert. Using specially desig…
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## Summary
Poisson distribution where, at high lambda values, the sample variance deviates noticeably from the mean.
During a Kolmogorov-Smirnov (KS) test, the [Poisson distribution fails](https…
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**Provide the solver name**
Laplace Gillespie Solver
**Link a paper or provide a reference for the described solver**
https://arxiv.org/abs/1601.01490
**Describe a usecase of the solver**
The…
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Found the root cause of the performance issue. It's a combination of pregnancy burn-in, the Poisson default for the `eff_contacts` state in Mixing Pools, and CRN.
Pregnancy burn-in goes back in tim…
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```
To cite package ssdtools in publications use: Thorley, J. and Schwarz C., (2018). ssdtools: An R package to fit Species Sensitivity Distributions. Journal of Open Source Software, 3(31), 1082. ht…
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https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.poisson.html
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There are numerous probability distributions used to represent almost any random event. We learned about the binomial distribution to represent events like any number of coin flips as well as the norm…
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Possibly associated with multi dimensional calculation from other node.
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The generalized poisson distribution has some potential when it comes to the estimation of underdispersed count data and is much more efficient to evaluate the the conway-maxwell poisson distribution.…