Cubature scheme for spatio-temporal Poisson point processes estimation
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866916161381203968 |
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| author | D'Angelo, Nicoletta Adelfio, Giada |
| author_facet | D'Angelo, Nicoletta Adelfio, Giada |
| contents | This work presents the cubature scheme for the fitting of spatio-temporal Poisson point processes. The methodology is implemented in the R Core Team (2024) package stopp (D'Angelo and Adelfio, 2023), published on the Comprehensive R Archive Network (CRAN) and available from https://CRAN.R-project.org/package=stopp. Since the number of dummy points should be sufficient for an accurate estimate of the likelihood, numerical experiments are currently under development to give guidelines on this aspect. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_10878 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Cubature scheme for spatio-temporal Poisson point processes estimation D'Angelo, Nicoletta Adelfio, Giada Methodology Computation This work presents the cubature scheme for the fitting of spatio-temporal Poisson point processes. The methodology is implemented in the R Core Team (2024) package stopp (D'Angelo and Adelfio, 2023), published on the Comprehensive R Archive Network (CRAN) and available from https://CRAN.R-project.org/package=stopp. Since the number of dummy points should be sufficient for an accurate estimate of the likelihood, numerical experiments are currently under development to give guidelines on this aspect. |
| title | Cubature scheme for spatio-temporal Poisson point processes estimation |
| topic | Methodology Computation |
| url | https://arxiv.org/abs/2403.10878 |