Approximation of the difference of two Poisson-like counts by Skellam

DOI10.1017/jpr.2018.27zbMath1401.62024arXiv1708.04018OpenAlexW2963682894MaRDI QIDQ4684949

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Publication date: 26 September 2018

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

Full work available at URL: https://arxiv.org/abs/1708.04018

zbMATH Keywords

Stein's methodPoisson approximationSkellam approximation

Mathematics Subject Classification ID

Central limit and other weak theorems (60F05) Approximations to statistical distributions (nonasymptotic) (62E17) Continuous-time Markov processes on discrete state spaces (60J27)

Related Items (2)

Estimation of Subgraph Densities in Noisy Networks ⋮ Computing (Bivariate) Poisson Moments Using Stein–Chen Identities

Uses Software

• vipR

Cites Work

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• Statistical analysis of network data. Methods and models
• Applied mathematics meets signal processing.
• A central limit theorem for decomposable random variables with applications to random graphs
• Stein's method and birth-death processes
• On Stein-Chen factors for Poisson approximation
• Poisson convergence and random graphs
• Skellam Shrinkage: Wavelet-Based Intensity Estimation for Inhomogeneous Poisson Data
• On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks
• The Frequency Distribution of the Difference Between Two Poisson Variates Belonging to Different Populations
• Networks

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