Adaptive synthetic generation using one-step Gibbs Sampler
Most existing state-of-the-art synthetic generation methods produce static snapshots of data that fail to adapt to demographic changes over time, which makes them quickly outdated. This paper introduces an adaptive approach to synthetic population generation using a one-step Gibbs Sampler that allow...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2025-09-01
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| Col·lecció: | Transportation Research Interdisciplinary Perspectives |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2590198225002763 |
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