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## Background
**What is your motivation?**
I would like to use simulate a stochastic process where the number of events in each time window follows a Poisson distribution.
~~~rust
let poisso…
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Hi everyone,
Base Julia can't convert large floats into `Int` type using `floor` or `round` etc. This creates a problem for sampling from Poisson's with a large mean because this is used in fast p…
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Hello,
I'm working with the `ls.ipynb` file in the `TransNet/PDE_Poisson_2d_annulus/` directory. In the third code block, I noticed the following line:
```python
my_prob = Poisson_2d(case=1, da…
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The density at a discrete point in the mixture should be `Inf`, cdf is fine.
```r
library(ggdist)
library(distributional)
library(ggplot2)
ggplot(NULL, aes(xdist = dist_mixture(dist_normal(), d…
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Minimal example
```python
# Copyright (C) 2023 Jørgen S. Dokken
#
# Solve a singular Poisson problem with a null-space
#
# SPDX-License-Identifier: MIT
from dolfinx import mesh, fem, io
…
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The original code for the `poisson_log_loss` was taken from {MLmetrics} and it works well overall, but has some edge cases when Inf is returned
eg `dpois(ypred, 0) = 0`, `dpois(ypred, 0, log = TRUE…
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stored in:
`~/Poisson/Data/lar-ldr-rb/2024/Gerrard data for Evan 2024.xlsx`
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Could you the synthetic control combined with the Poisson pseudo-maximum-likelihood (PPML) estimator? And do you know of any example of papers that uses this approach?
For context: I wish to run a …