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Exact and computationally efficient Bayesian inference for generalized Markov modulated Poisson processes
Statistical modeling of temporal point patterns is an important problem in several areas. The Cox process, a Poisson process where the intensity function is stochastic, is a common model for such data. We present a new class of unidimensional Cox process models in which the intensity function assume...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733934/ https://www.ncbi.nlm.nih.gov/pubmed/35013655 http://dx.doi.org/10.1007/s11222-021-10074-y |