Testing independence between two nonhomogeneous point processes in time
From MaRDI portal
Publication:5033448
DOI10.1080/00949655.2020.1792471OpenAlexW3043763845MaRDI QIDQ5033448
Jesús Asín, Ana C. Cebrián, Jesús Abaurrea
Publication date: 23 February 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: http://zaguan.unizar.es/record/106615
Statistics (62-XX) Stochastic analysis (60Hxx) Applications of statistics (62Pxx) Inference from stochastic processes (62Mxx) Stochastic processes (60Gxx)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Summary statistics for inhomogeneous marked point processes
- Estimation of the intensity of non-homogeneous point processes via wavelets
- Bootstrap and permutation tests of independence for point processes
- Distance-based parametric bootstrap tests for clustering of species ranges
- An introduction to the theory of point processes
- Testing Local Independence between Two Point Processes
- Bootstrap procedures in a spatial-temporal model
- Dependent thinning of point processes
- Networks of non-homogeneous M/G/∞ systems
- Non‐ and semi‐parametric estimation of interaction in inhomogeneous point patterns
- Common Poisson Shock Models: Applications to Insurance and Credit Risk Modelling
- Detecting Dependence Between Marks and Locations of Marked Point Processes
- A test for lack-of-fit of zero-inflated negative binomial models
- A comparison of the type I error rates of three assessment methods for indirect effects
- Global Envelope Tests for Spatial Processes
- Multiple Tests Based on a Gaussian Approximation of the Unitary Events Method with Delayed Coincidence Count
- Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters
This page was built for publication: Testing independence between two nonhomogeneous point processes in time