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methods produce static snapshots of data that fail to adapt to demographic changes over time, which makes them quickly outdated.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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Bibliographic Details

Published in:	Transportation Research Interdisciplinary Perspectives
Main Authors:	Marija Kukic, Michel Bierlaire
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Subjects:	Adaptive generation Dynamic projection Gibbs sampling Markov Chain Monte Carlo simulation Population synthesis
Online Access:	http://www.sciencedirect.com/science/article/pii/S2590198225002763