What is being returned by PoissonRegression.predict() in sklearn when I am predicting target values from data? Is it the actual predicted value of the target?

I have an outcome variable that is represented in days. However, this variable also includes half day values. So, for example, this variable is represented by 0, 0.5, 1.5, etc. The distribution itself ...

I'm trying to use fepois to run a poisson event study in R. The results of the model are always one coefficient for my event time. > model_poisson <- fepois( + accident_count ~ i(...

I am working with the New Generalized Poisson Lindley (NGPL) distribution, which is a two-parameter discrete distribution defined by parameters α (alpha) and β (beta). I wrote an R function to ...

I’m estimating parameters for the Lindley (BGPL) distribution with five parameters: alpha1, beta1, alpha2, beta2, and theta, using optim() in R for MLE. However, the MLE results are not accurate—...

I am generating random samples from both numpy and scipy for a Poisson distribution, but it appears that scipy never produces values of x=0. Scipy seems to be off by x=1, i.e., it is shifted to the ...

I want to load a ply file like bunny and then do poisson reconstruction. And I use the following code to do it: #include <pcl/point_types.h> #include <pcl/point_cloud.h> #include <pcl/...

I am trying to use Python to calculate mean absolute error (MAE) while doing zero-inflated Poisson regression and zero-inflated negative binomial regression. I separated data into training data and ...

I am working with a zero inflated Poisson model. I am using the glmmTMB My outcome variable is the number of burglaries in all of Texas between 2000 and 2015. My unit of analysis are counties (county)....

I am interested in estimating a Poisson fixed effects model with: where is the "age" of the observation. I am interested in the coefficients, not the other fixed effects. My first ...

I have the model: I1 <- inla(n ~ median + weight + length, control.predictor = list(compute = TRUE), quantiles = c(0.025, 0.975), control.compute=list(dic = TRUE, ...

I want to predict a fitted poisson glm on newdata, given that it was fitted using offset=log(Exposure), but I get confused with the inclusion of the term "offset" inside of predict.glm(). I ...

I am currently looking at country-wide population ‘censuses’ that were conducted by feeding vultures at all restaurant sites simultaneously. Simultaneous census counts were conducted twice in June ...

I have a dataframe dfof football matches and corresponding mean scoring rates for each team. The first 2 columns are Home and Away teams, the 3rd and 4th columns are mean scoring rates for Home and ...

I am trying to use R function glmmTMB::glmmTMB() to fit a generalized linear mixed-effects model to a dataset. However, I am being presented with a warning which reads Warning message: In (function (...