Simulation of Cox processes driven by random Gaussian field

DOI10.1007/S11009-010-9169-8zbMath1277.60088OpenAlexW1967691710MaRDI QIDQ655928

Oleksandr Pogoriliak, Yuriy Vasil'ovich Kozachenko

Publication date: 26 January 2012

Published in: Methodology and Computing in Applied Probability (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11009-010-9169-8

zbMATH Keywords

simulationreliabilityaccuracyCox processes

Mathematics Subject Classification ID

Stationary stochastic processes (60G10) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (5)

A multiplicative wavelet-based model for simulation of a random process ⋮ Accuracy and reliability of a model for a Gaussian homogeneous and isotropic random field in the space $L_p(\mathbb {T})$, $p\geq 1$ ⋮ Simulation of a strictly sub-Gaussian random field ⋮ An application of \(\varphi\)-subgaussian technique to Fourier analysis ⋮ Wavelet-based simulation of random processes from certain classes with given accuracy and reliability

Cites Work

• Unnamed Item
• Unnamed Item
• Regularity of Gaussian processes
• Simulation of weakly self-similar stationary increment \(\mathbf{Sub}_\varphi(\Omega)\)-processes: A series expansion approach
• Space-time Multi Type Log Gaussian Cox Processes with a View to Modelling Weeds
• Log Gaussian Cox Processes

This page was built for publication: Simulation of Cox processes driven by random Gaussian field