Erlang mixture modeling for Poisson process intensities

DOI10.1007/s11222-021-10064-0zbMath1477.62010arXiv2110.12513OpenAlexW3215050148MaRDI QIDQ2066740

Athanasios Kottas, Hyotae Kim

Publication date: 14 January 2022

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2110.12513

zbMATH Keywords

Markov chain Monte CarloBayesian nonparametricsgamma processnon-homogeneous Poisson processErlang mixtures

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Inference from spatial processes (62M30) Nonparametric estimation (62G05) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Uses Software

• INLA
• GSM
• lgcp

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