Towards Bayesian Model-Based Demography : : Agency, Complexity and Uncertainty in Migration Studies / / by Jakub Bijak.
This 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 an...
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| Superior document: | Methodos Series, Methodological Prospects in the Social Sciences, 17 |
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| VerfasserIn: | |
| Place / Publishing House: | Cham : : Springer International Publishing :, Imprint: Springer,, 2022. |
| Year of Publication: | 2022 |
| Edition: | 1st ed. 2022. |
| Language: | English |
| Series: | Methodos Series, Methodological Prospects in the Social Sciences,
17 |
| Physical Description: | 1 online resource (XXV, 263 p. 46 illus. in color.) |
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Table of Contents:
- Part I: Preliminaries: Chapter 1. Introduction
- Chapter 2. Uncertainty and complexity: towards model-based demography
- Part II: Elements of the modelling process
- Chapter 3. Principles and state of the art of agent-based migration modelling
- Chapter 4. Building a knowledge base for the model
- Chapter 5. Uncertainty quantification, model calibration and sensitivity
- Chapter 6. The boundaries of cognition and decision making
- Chapter 7. Agent-based modelling and simulation with domain-specific languages
- Part III: Model results, applications, and reflections
- Chapter 8. Towards more realistic models
- Chapter 9. Bayesian model-based approach: impact on science and policy
- Chapter 10. Open science, replicability, and transparency in modelling
- Chapter 11. Conclusions: towards a Bayesian modelling process.