poisson

I was thinking that Poisson distributions look like distributions generated by Poisson disk sampling (with which I was more familiar).

And I do believe the author is correct by claiming it is a Poisson distribution, since we are talking a number of events per km^2.

Sure, you have to start somewhere with any analysis, and Poisson is the place to start.

The point clouds are converted to a mesh with poisson surface reconstruction and retextured with fragments of the original images.

Linear and Poisson regression models were adjusted for socioeconomic factors in estimating the association.

I would like to see a code, which solves a maze by calculating the Poisson equation for pressure.

This is modeled in queue theory as a Poisson distribution of arrival times.

It's really cool that Poisson disc sampling is used to generate the points.

The Poisson surfaces are never quite as nice as the point clouds - I am using Meshlab for this part.

This process also possesses the necessary properties[1] of a Poisson process.

This should be a poisson process, and I could be wrong but I feel like that's not what's being used here.

The Poisson process equation is actually in Satoshi's whitepaper.

So, where is the test for "Distribution of conflicts does not follow a Poisson distribution?" Certainly, that is a necessary condition before one can claim that a period is special in some way.

I was addressing the "verifying it's a Poisson process" part of their comment.

Poisson distributions are completely random, so I'm guessing you mean either a uniform or normal distribution.

In fact, this property is true for any exponential family (Gamma, Poisson, etc).

It would not be Poisson, because the arrivals are not statistically independent.