6533b7d1fe1ef96bd125d245

RESEARCH PRODUCT

Minimum contrast for point processes' first-order intensity estimation

Nicoletta D'angeloGiada Adelfio

subject

Second-order characteristics Spatial statistics Spatio-temporal point processes Local models Minimum contrastSettore SECS-S/01 - Statistica

description

In this paper, we exploit some theoretical results, from which we know the expected value of the K-function weighted by the true first-order intensity function of a point pattern. This theoretical result can serve as an estimation method for obtaining the parameter estimates of a specific model, assumed for the data. The only requirement is the knowledge of the first-order intensity function expression, completely avoiding writing the likelihood, which is often complex to deal with in point process models. We illustrate the method through simulation studies for spatio-temporal point processes.

https://hdl.handle.net/10447/590773