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Focusing on a novel methodology for migration studies, this open access book introduces a groundbreaking approach to developing agent-based models that simulate international migration. By utilizing intelligent cognitive agents and their networks, it integrates behavioral and social theories with formal modeling, all framed within Bayesian statistical reasoning. The book emphasizes uncertainty quantification and incorporates insights from laboratory experiments on decision-making, ultimately addressing significant knowledge gaps in migration and social sciences through iterative model building.
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Towards Bayesian Model-Based Demography, Jakub Bijak
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- 2021
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