On the higher order product density functions of a Neyman-Scott cluster point process
From MaRDI portal
Publication:310657
DOI10.1016/j.spl.2016.05.003zbMath1346.60067OpenAlexW2417997057WikidataQ58285559 ScholiaQ58285559MaRDI QIDQ310657
Publication date: 8 September 2016
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2016.05.003
Inference from spatial processes (62M30) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)
Related Items (2)
Neyman-Scott process with skew-normal clusters ⋮ Assessing similarities between spatial point patterns with a siamese neural network discriminant model
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Estimation variances for estimators of product densities and pair correlation functions of planar point processes
- A Third Order Point Process Characteristic
- Two-Step Estimation for Inhomogeneous Spatial Point Processes
- INHOMOGENEITY IN SPATIAL COX POINT PROCESSES – LOCATION DEPENDENT THINNING IS NOT THE ONLY OPTION
- Central limit theorem for the integrated squared error of the empirical second-order product density and goodness-of-fit tests for stationary point processes
- Maximum likelihood estimates of the fractal dimension for random spatial patterns
- Log Gaussian Cox Processes
- Non‐ and semi‐parametric estimation of interaction in inhomogeneous point patterns
- Shot noise Cox processes
- An Introduction to the Theory of Point Processes
- Parameter Estimation and Model Selection for Neyman‐Scott Point Processes
- REMARK ON THE PALM INTENSITY OF NEYMAN-SCOTT CLUSTER POINT PROCESSES
- An Estimating Function Approach to Inference for Inhomogeneous Neyman–Scott Processes
- On stirling numbers of the second kind
This page was built for publication: On the higher order product density functions of a Neyman-Scott cluster point process