Towards Bayesian Model-Based Demography

Population processes, including migration, are complex and uncertain. We begin this book by providing a rationale for building Bayesian agent-based models for population phenomena, specifcally in the context of migration, which is one of the most uncertain and complex demographic processes. The main objectives of the book are to pursue methodological advancement in demography and migration studies through combining agent-based modelling with empirical data, Bayesian statistical inference, appropriate computational techniques, and psychological experiments in a streamlined modelling process, with the overarching aim to contribute to furthering the model-based research agenda in demography and broader social sciences. In this introductory chapter, we also offer an overview of the structure of this book, and present various ways in which different audiences can
approach the contents, depending on their background and needs.
[2021]

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