Cargando…
Score-Driven Modeling of Spatio-Temporal Data
A simultaneous autoregressive score-driven model with autoregressive disturbances is developed for spatio-temporal data that may exhibit heavy tails. The model specification rests on a signal plus noise decomposition of a spatially filtered process, where the signal can be approximated by a nonlinea...
Autores principales: | Gasperoni, Francesca, Luati, Alessandra, Paci, Lucia, D’Innocenzo, Enzo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614622/ https://www.ncbi.nlm.nih.gov/pubmed/37284549 http://dx.doi.org/10.1080/01621459.2021.1970571 |
Ejemplares similares
-
ChromTime: modeling spatio-temporal dynamics of chromatin marks
por: Fiziev, Petko, et al.
Publicado: (2018) -
Data-driven spatio-temporal modelling of glioblastoma
por: Jørgensen, Andreas Christ Sølvsten, et al.
Publicado: (2023) -
High-throughput analysis of spatio-temporal dynamics in Dictyostelium
por: Sawai, Satoshi, et al.
Publicado: (2007) -
Hotel dynamic pricing, stochastic demand and covid-19
por: Guizzardi, Andrea, et al.
Publicado: (2022) -
Frequentist Model Averaging in Structure Equation Model With Ordinal Data
por: Jin, Shaobo
Publicado: (2022)