Nonparametric inference for continuous-time event counting and link-based dynamic network models

DOI10.1214/19-EJS1588zbMath1431.62120arXiv1705.03830MaRDI QIDQ2323941

Enno Mammen, Alexander Kreiß, Wolfgang Polonik

Publication date: 13 September 2019

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

Full work available at URL: https://arxiv.org/abs/1705.03830

zbMATH Keywords

asymptotic normalitycounting processeslocal likelihood estimationmodelling dependenceevent counting

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

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Correlation bounds, mixing and \(m\)-dependence under random time-varying network distances with an application to Cox-processes

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