Statistical inference on stationary shot noise random fields

DOI10.1007/s11203-023-09294-yOpenAlexW4200635695MaRDI QIDQ6190224

Antoine Lerbet

Publication date: 6 February 2024

Published in: Statistical Inference for Stochastic Processes (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11203-023-09294-y

zbMATH Keywords

parameter estimationcentral limit theoremisotropystatistical inferenceassociationshot noise random field

Mathematics Subject Classification ID

Inference from stochastic processes (62Mxx)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• On the perimeter of excursion sets of shot noise random fields
• Wiener chaos: Moments, cumulants and diagrams. A survey with computer implementation
• An invariance principle for weakly associated random vectors
• Normal fluctuations and the FKG inequalities
• On the central limit theorem for stationary mixing random fields
• Mean geometry for 2D random fields: level perimeter and level total curvature integrals
• Normal convergence of nonlocalised geometric functionals and shot-noise excursions
• Mixing properties and central limit theorem for associated point processes
• Completely random measures
• A CENTRAL LIMIT THEOREM AND A STRONG MIXING CONDITION
• Normal convergence of multidimensional shot noise and rates of this convergence
• Shot noise Cox processes
• Shot-Noise Processes in Finance
• Some remarks on associated random fields, random measures and point processes
• Stochastic Geometry and Wireless Networks: Volume I Theory
• Random Phase Textures: Theory and Synthesis
• Association of Random Variables, with Applications
• Mathematical Analysis of Random Noise
• Statistics for Gaussian random fields with unknown location and scale using Lipschitz‐Killing curvatures

This page was built for publication: Statistical inference on stationary shot noise random fields