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Copula-based transferable models for synthetic population generation
March 19, 2024, 4:45 a.m. | Pascal Jutras-Dub\'e, Mohammad B. Al-Khasawneh, Zhichao Yang, Javier Bas, Fabian Bastin, Cinzia Cirillo
cs.LG updates on arXiv.org arxiv.org
Abstract: Population synthesis involves generating synthetic yet realistic representations of a target population of micro-agents for behavioral modeling and simulation. Traditional methods, often reliant on target population samples, such as census data or travel surveys, face limitations due to high costs and small sample sizes, particularly at smaller geographical scales. We propose a novel framework based on copulas to generate synthetic data for target populations where only empirical marginal distributions are known. This method utilizes samples …
abstract agents arxiv census copula costs cs.lg data face limitations micro modeling population sample samples simulation small stat.ml surveys synthesis synthetic travel type
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