Sep 5, 2024 · Normally, everyone talks about the distribution of interarrival times in a Poisson Process are Exponential ... but what about the distribution of the actual event times?

Note, that a poisson distribution does not automatically imply an exponential pdf for waiting times between events. This only accounts for situations in which you know that a poisson process is at …

Nov 6, 2023 · In my case, these values are 0.110 and 0.023, respectively. Is there any sort of rule of thumb as to how much the variance should exceed the mean, before going to the effort of running a …

Nov 6, 2023 · The Poisson distribution has a semi-infinite support on non-negative integers so, looking from the median, it has a finite tail to the left and an infinite tail to the right and thus is not symmetric

Apr 6, 2025 · Should I do a Poisson regression with robust standard errors, or a Negative Binomial regression with bootstrapped standard errors? Both provide similar results in terms of significance …

Apr 22, 2025 · Ultimately I am trying to compare if the generalized poisson or hurdle model is a better fit for my data but I am having trouble interpreting the glmmTMB hurdle model summary and methods. …

Dec 10, 2023 · 1 I will give an intuitive explanation, only needing the defining properties of the Poisson Process and the exponential distribution, without needing any calculations involving densities. In …

Sep 8, 2022 · Why should Poisson Regression be used for Count Data instead of a "vanilla linear regression"? I understand the basic argument : Count Data is by definition discrete and you would …

Apr 22, 2025 · As alluded to, this formula for P is found by composing the "nice" known solution for the Poisson kernel in the unit disk $\mathbb {D}$ through appropriate biholomorphisms so that it can be …

Jan 28, 2024 · Is it appropriate to employ a zero-inflated Poisson regression model for datasets characterized by a notable presence of zeros, even when these zeros are true zeros?