Towards Bayesian model-based demography : agency, complexity and uncertainty in migration studies

Towards Bayesian model-based demography : agency, complexity and uncertainty in migration studies / Jakub Bijak ; with contributions by Philip A. Higham [and eight others].

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...

Full description

Saved in:
Bibliographic Details
Main Author: Bijak, Jakub (Author)
Format: eBook
Language:English
Published: Cham : Springer, [2022]
Series:Methodos series ; v. 17.
Subjects:
Demography > Methodology.
Emigration and immigration > Simulation methods.
Demography.
demography.
Demography > Methodology
Online Access:Click for online access
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.

Similar Items