Modelling Crime Data Using the Non-Stationary Bivariate Integer-Valued Autoregressive (BINAR(1)) Models with Poisson-Lindley (PL) Innovations
This paper proposes a family of first order bivariate integer-valued autoregressive (BINAR(1)) with Poisson Lindley innovations (BINAR(1)PL). The model parameters are estimated using the conditional maximum likelihood (CML) estimation approach. The proposed models are applied on some real life crime...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2025-07-01
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| Serie: | Computer Sciences & Mathematics Forum |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2813-0324/11/1/34 |
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