I have never used R code in python before, but would like to do so in order to implement some Poisson regression models. The reason for this is efficiency (R code for poisson regression much more e...

I'm trying to run a Poisson model, like this: poisson_model_xg = smf.glm(formula="xG ~ home + team + opponent", data=xg_model_data, family=sm.families.Poisson()).fit() I'm getting the ...

I have some images that I need to add incremental amounts of Poisson noise to in order to more thoroughly analyze them. I know you can do this in MATLAB, but how do you go about doing it in Python?...

I am working through "Forecasting with Exponential Smoothing". I am stuck on exercise 16.4 on the part that states: The data set partx contains a history of monthly sales of an automobile part. ...

I would like to create a function in Java that generates Poisson arrivals given the mean arrival rate (lambda) and the mean service rate (mu). In my example I have: 2,2 requests/day, in other word...

i've been looking around, but i'm not sure how to do it. i've found this page which, in the last paragraph, says: A simple generator for random numbers taken from a Poisson distribution is obtain...

I need to write a function in Python 3 which returns an array of positions (x,y) on a rectangular field (e.g. 100x100 points) that are scattered according to a homogenous spatial Poisson process. ...

I would like to generate N points in a circle C of center (0,0) and of radius R=200. The points follow Poisson distribution. In other words, I would like to generate N homogeneous Poisson point pro...

I am generating a random number using scipy stats. I used the Poisson distribution. Below is an example: import scipy.stats as sct A =2.5 Pos = sct.poisson.rvs(A,size = 20) When I print Pos, I...

I want to build a Random Forest Regressor to model count data (Poisson distribution). The default 'mse' loss function is not suited to this problem. Is there a way to define a custom loss function ...

I found a package 'bivpois' for R which evaluates a model for two related poisson processes (for example, the number of goals by the home and the away team in a soccer game). However, this package ...

I am trying to model count data on the number of absence days by worker in a year (dependant variable). I have a set of predictors, including information about workers, about their job, etc..., and...

I am running a zero-inflated model for CPUE data. This data has evidence of zero-inflation which I have confirmed with a Vuong test (in code below). The full model (zint) is better than the null ac...

I have been trying to find a way to fit some of my columns (that contains user click data) to poisson distribution in python. These columns (e.g., click_website_1, click_website_2) may contai...

I am new with poisson point process. I did one simluation (matlab) as below. My intensity lambda = 50; clear all; lambda=50; npoints = poissrnd(lambda); pproc = rand(npoints, 2); plot(pproc(:, ...

I am trying to understand how HashMap is implemented in Java. I decided that I will try to understand every line (of code and comments) from that class and obviously I faced resistance very soon. T...

I am trying to use XGBoost to model claims frequency of data generated from unequal length exposure periods, but have been unable to get the model to treat the exposure correctly. I would normally ...

I try to fit my data to a poisson distribution: import seaborn as sns import scipy.stats as stats sns.distplot(x, kde = False, fit = stats.poisson) But I get this error: AttributeError: 'pois...

I am generating a Gaussian, for the sake of completeness, that's my implementation: from numpy import * x=linspace(0,1,1000) y=exp(-(x-0.5)**2/(2.0*(0.1/(2*sqrt(2*log(2))))**2)) with peak at 0.5...

I read somewhere that the python library function random.expovariate produces intervals equivalent to Poisson Process events. Is that really the case or should I impose some other function on the r...

I'm sampling a Poisson process at a millisecond time scale where the rate is not fixed. I discretise the sampling process by checking in each interval of size delta whether there is an event there ...

Here's the data and set up: library(fitdistrplus) library(gamlss) finalVector <- dput(finalVector) c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...

I want to generate events that "arrive" with "t" seconds as mean inter-arrival delay? Starting at time 0, how do I generate the times when the event occurs? Basically, I want to generate sequence o...

I have some observational data for which I would like to estimate parameters, and I thought it would be a good opportunity to try out PYMC3. My data is structured as a series of records. Each rec...

In python random module, the expovariate() function generates floating point numbers which can be used to model inter-arrival times of a Poisson process. How do I make use of this to generate integ...