Parameter Estimation for Inhomogeneous Space‐Time Shot‐Noise Cox Point Processes

DOI10.1111/sjos.12222zbMath1373.62470OpenAlexW2315252533MaRDI QIDQ2835302

Jiří Dvořák, Michaela Prokešová

Publication date: 2 December 2016

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/sjos.12222

zbMATH Keywords

minimum contrast estimationprojection processshot-noise Cox processspace-time point processspace-time \(K\)-function

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items

Structured space-sphere point processes and \(K\)-functions

Uses Software

• spatstat
• spatial

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A minimum contrast estimation procedure for estimating the second-order parameters of inhomogeneous spatial point processes
• Estimating second-order characteristics of inhomogeneous spatio-temporal point processes
• Statistics for inhomogeneous space-time shot-noise Cox processes
• Mixing: Properties and examples
• Space-time Multi Type Log Gaussian Cox Processes with a View to Modelling Weeds
• Spatiotemporal Prediction for Log-Gaussian Cox Processes
• Two-Step Estimation for Inhomogeneous Spatial Point Processes
• Space-Time Models in Stochastic Geometry
• Partial-Likelihood Analysis of Spatio-Temporal Point-Process Data
• Non‐ and semi‐parametric estimation of interaction in inhomogeneous point patterns
• Shot noise Cox processes
• An Introduction to the Theory of Point Processes
• Functional Principal Component Analysis of Spatiotemporal Point Processes With Applications in Disease Surveillance
• Statistical Analysis and Modelling of Spatial Point Patterns
• An Introduction to the Theory of Point Processes
• Statistical Inference for Spatial Processes