I'm trying to recreate something similar to an image in modern actuarial risk theory using R: https://www.academia.edu/37238799/Modern_Actuarial_Risk_Theory (page 89) Click here for image In my case, ...

I'm trying to model the ruin rate for an insurance company that will be receiving claims of random amounts (that I'm assuming will be exponentially distributed) at random time intervals (that I'm assu...

import numpy as np from scipy.stats import poisson import matplotlib.pyplot as plt #generate Poisson distribution with sample size 30000 x = poisson.rvs(mu=0.9, size=30000) #create plot of Poisson ...

I 'd like to fit my empirical data to a poisson distribution curve. I have the mean given value, say 2.3, and data (empirical). def fit_poisson(data=None,network=None,mu=2.3): sns.set_theme() ...