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

DOI10.1016/j.csda.2022.107545OpenAlexW3162483180WikidataQ113877319 ScholiaQ113877319MaRDI QIDQ2674482

Chenran Wang, Wei Wu, Zishen Xu

Publication date: 14 September 2022

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2105.08893

zbMATH Keywords

point processspike trainsproper metricstatistical depthfunction smoothing

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• KernSmooth

Cites Work

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