Dirichlet depths for point process

DOI10.1214/21-EJS1867zbMath1472.62176arXiv1909.07324OpenAlexW3181300103MaRDI QIDQ2044426

Yanyan Li

Publication date: 9 August 2021

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

Full work available at URL: https://arxiv.org/abs/1909.07324

zbMATH Keywords

point processPoisson processtime warpingneural spike trainsDirichlet depth

Mathematics Subject Classification ID

Functional data analysis (62R10) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (1)

A unified framework on defining depth for point process using function smoothing

Cites Work

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• On the Concept of Depth for Functional Data
• Integrability of Expected Increments of Point Processes and a Related Random Change of Scale

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