Towards Bayesian Model-Based Demography Agency, Complexity and Uncertainty in Migration Studies

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dc.contributor.authorJakub Bijak
dc.date.accessioned2026-03-18T21:47:59Z
dc.date.available2026-03-18T21:47:59Z
dc.date.issued2022
dc.descriptionLibro electrónico
dc.description.abstractThis open access book presents a ground-breaking approach to developing micro-foundations for demography and migration studies. It offers a unique and novel methodology for creating empirically grounded agent-based models of international migration – one of the most uncertain population processes and a top-priority policy area. The book discusses in detail the process of building a simulation model of migration, based on a population of intelligent, cognitive agents, their networks and institutions, all interacting with one another. The proposed model-based approach integrates behavioural and social theory with formal modelling, by embedding the interdisciplinary modelling process within a wider inductive framework based on the Bayesian statistical reasoning.
dc.identifier.isbn978-3-319-69623-1029
dc.identifier.otherhttps://doi.org/10.1007/978-3-030-83039-7
dc.identifier.urihttps://link.springer.com/openurl?genre=book&isbn=978-3-030-83039-7
dc.identifier.urihttp://bibliovirtual.umar.mx:4000/handle/123456789/1980
dc.language.isoen_US
dc.publisherSpringer International Publishing
dc.titleTowards Bayesian Model-Based Demography Agency, Complexity and Uncertainty in Migration Studies
dc.typeBook
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person.jobTitletrabajo

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