Couplings for determinantal point processes and their reduced Palm distributions with a view to quantifying repulsiveness

DOI10.1017/jpr.2020.101zbMath1476.60087arXiv1806.07347OpenAlexW3177420882MaRDI QIDQ4997200

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Publication date: 28 June 2021

Published in: Journal of Applied Probability (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1806.07347

zbMATH Keywords

Ginibre point processprojection kernelglobally most repulsive determinantal point processisotropic determinantal point process on the spherestationary determinantal point process in Euclidean space

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Geometric probability and stochastic geometry (60D05) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (3)

A note related to the CS decomposition and the BK inequality for discrete determinantal processes ⋮ MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes ⋮ On simulation of continuous determinantal point processes

Uses Software

• spatstat
• DLMF

Cites Work

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• Negative dependence and the geometry of polynomials
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• Statistical Ensembles of Complex, Quaternion, and Real Matrices
• Determinantal Point Process Models and Statistical Inference
• Concentration of Lipschitz Functionals of Determinantal and Other Strong Rayleigh Measures

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