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Hello,
While investigating a bug in the Poisson regression implementation (see issue #1829 ), it appears that Poisson metrics calculated by catboost are way off on large datasets, compared to the …
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`On the existence of the maximum likelihood estimates in Poisson regression`
http://www.sciencedirect.com/science/article/pii/S0165176510000832
from a quick read :
`if rank(exog[endog>0,:) < exog.sh…
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Poisson regression is very commonly used for [survival analysis](https://en.wikipedia.org/wiki/Survival_analysis). In this context, it is necessary to include the exposure time as a [log-offset](https…
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The way the exponential growth rate is estimated here currently (in `fit()`) is to use a log-linear model (linear model similar to `lm(log(incidence) ~ date)`. For the log to work you need to remove t…
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(back to econometrics)
#1742 ivpoisson, GMMPoisson
control function approach with linear function for endogenous regressor doesn't look so scary.
https://stats.stackexchange.com/questions/28184…
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Hi @mattn, I wanted to use XGBoost for quantile regression but found that the loss function of pseudo Huber error does no better than a null model. Currently, `objective = 'reg:pseudohubererror'` pred…
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# Poisson regression for #TidyTuesday counts of R package vignettes | Julia Silge
A data science blog
[https://juliasilge.com/blog/rstats-vignettes/](https://juliasilge.com/blog/rstats-vignettes/)
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HI!
I am trying to use the link() function on a Poisson regression model with an offset.
However, I get the following error:
```
Error in eval(f, envir = the_env) : object 'log_exposure' not found…
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### Summary
Based on the branch: [can_pb_reduced_dims_prototyping](https://github.com/ammarhakim/gkylzero/tree/can_pb_reduced_dims_prototyping). This was original branched from main, but should be me…
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(mainly parking a reference)
D'Agostino, Ralph B., Mei‐Ling Lee, Albert J. Belanger, L. Adrienne Cupples, Keaven Anderson, and William B. Kannel. "Relation of pooled logistic regression to time depen…