Spatiotemporal point processes: regression, model specifications and future directions

DOI10.1214/19-BJPS444zbMath1435.62184OpenAlexW2970761308MaRDI QIDQ2330482

Dani Gamerman

Publication date: 22 October 2019

Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.bjps/1566806428

zbMATH Keywords

discretizationGaussian processesPoisson processesdata augmentationspatial interpolationpartition models

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Inference from spatial processes (62M30) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Uses Software

• spatstat
• lgcp
• geostatsp

Cites Work

• Unnamed Item
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