Hugendubel.info - Die B2B Online-Buchhandlung 

Merkliste
Die Merkliste ist leer.
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

Towards Bayesian Model-Based Demography

Agency, Complexity and Uncertainty in Migration Studies
BuchGebunden
263 Seiten
Englisch
Springererschienen am10.12.20211st ed. 2022
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.mehr
Verfügbare Formate
BuchGebunden
EUR53,49
BuchKartoniert, Paperback
EUR42,79

Produkt

KlappentextThis 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.
Zusammenfassung
Presents a ground-breaking agent-based simulation model of migration

Connects behavioural and social theory with modelling and statistics

This book is available open access and free to read online

Discusses the building of a simulation model of migration
Details
ISBN/GTIN978-3-030-83038-0
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2021
Erscheinungsdatum10.12.2021
Auflage1st ed. 2022
ReiheMethodos Series
Seiten263 Seiten
SpracheEnglisch
IllustrationenXXV, 263 p. 46 illus. in color.
Artikel-Nr.49910765

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr
Kritik
"The material collected by Jakub Bijak and his team constitutes a valuable resource for scholars interested in modelling individual decisions, not necessarily restricted to migration processes. ... Researchers who already gained some experience in social simulation will receive many inspirations for improving their own research and rise to the next level. In this way, this book has the potential to advance the art of modelling in the social sciences." (Thomas Fent, European Journal of Population, Vol. 38, 2022)mehr

Schlagworte

Autor

Jakub Bijak is Professor of Statistical Demography at the University of Southampton. He has background in economics (PhD 2008, Warsaw School of Economics) and over 20 years' work experience in academia and international civil service. His research focuses on demographic uncertainty, population and migration models and forecasts, and the demography of armed conflict. He has been awarded the Allianz European Demographer Award (2015) and the Jerzy Z Holzer Medal (2007) for work on migration modelling. Leader of a European Research Council project "Bayesian agent-based population studies" (www.baps-project.eu), and a Horizon 2020 project "QuantMig: Quantifying Migration Scenarios for Better Policy" (www.quantmig.eu).
Weitere Artikel von
Mitarbeit:Higham, Philip A.