Scalable model selection for spatial additive mixed modeling: application to crime analysis
A rapid growth in spatial open datasets has led to a huge demand for regression approaches accommodating spatial and non-spatial effects in big data. Regression model selection is particularly important to stably estimate flexible regression models. However, conventional methods can be slow for larg...
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| Otros Autores: | ; |
| Tipo de documento: | Electrónico Libro |
| Lenguaje: | Inglés |
| Publicado: |
2020
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| En: | Año: 2020 |
| Acceso en línea: |
Volltext (kostenfrei) |
| Verificar disponibilidad: | HBZ Gateway |