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

1st ed. 2022

by Jakub Bijak

Book Details

Format Hardback or Cased Book
Book Series Methodos Series
ISBN-10 3030830381
ISBN-13 9783030830380
Edition 1st ed. 2022
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture GB
Country of Publication GB
Publication Date Dec 10th, 2021
Print length 263 Pages
Weight 560 grams
Dimensions 24.50 x 16.30 x 2.40 cms
Product Classification: Migration, immigration and emigrationMigration, immigration & emigrationSocial research & statisticsSocial research and statisticsPopulation & demographyPopulation and demography
Ksh 8,100.00
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This open access book presents a ground-breaking approach to developing micro-foundations for demography and migration studies. 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.

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.

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