東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Towards Bayesian model-based demogra...

Bijak, Jakub.

Linked to FindBook

Google Book

Amazon

博客來

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Towards Bayesian model-based demography/ by Jakub Bijak.
Reminder of title:	agency, complexity and uncertainty in migration studies /
Author:	Bijak, Jakub.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xxv, 263 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Demography - Methodology. -
Online resource:	https://doi.org/10.1007/978-3-030-83039-7
ISBN:	9783030830397

Towards Bayesian model-based demography = agency, complexity and uncertainty in migration studies /
Bijak, Jakub.

Towards Bayesian model-based demographyagency, complexity and uncertainty in migration studies /[electronic resource] :by Jakub Bijak. - Cham :Springer International Publishing :2022. - xxv, 263 p. :ill., digital ;24 cm. - Methodos series, methodological prospects in the social sciences ;v. 17. - Methodos series, methodological prospects in the social sciences ;v. 17..

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.

Open access.

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 and a top-priority policy area. 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. The proposed model-based approach integrates behavioural and social theory with formal modelling, by embedding the interdisciplinary modelling process within a wider inductive framework based on the Bayesian statistical reasoning. Principles of uncertainty quantification are used to devise innovative computer-based simulations, and to learn about modelling the simulated individuals and the way they make decisions. The identified knowledge gaps are subsequently filled with information from dedicated laboratory experiments on cognitive aspects of human decision-making under uncertainty. In this way, the models are built iteratively, from the bottom up, filling an important epistemological gap in migration studies, and social sciences more broadly.

ISBN: 9783030830397

Standard No.: 10.1007/978-3-030-83039-7doiSubjects--Topical Terms:

546140
Demography
--Methodology.

LC Class. No.: HB849.4 / .B55 2022

Dewey Class. No.: 304.6

Towards Bayesian model-based demography = agency, complexity and uncertainty in migration studies /
LDR:03263nmm a2200349 a 4500 001 2297938
003 DE-He213
005 20211209044813.0
006 m d
007 cr nn 008maaau
008 230324s2022 sz s 0 eng d
020 $a 9783030830397 $q (electronic bk.)
020 $a 9783030830380 $q (paper)
024 7 $a 10.1007/978-3-030-83039-7 $2 doi
035 $a 978-3-030-83039-7
040 $a GP $c GP
041 0 $a eng
050 4 $a HB849.4 $b .B55 2022
072 7 $a JHBD $2 bicssc
072 7 $a SOC006000 $2 bisacsh
072 7 $a JHBD $2 thema
082 0 4 $a 304.6 $2 23
090 $a HB849.4 $b .B594 2022
100 1 $a Bijak, Jakub. $3 3593951
245 1 0 $a Towards Bayesian model-based demography $h [electronic resource] : $b agency, complexity and uncertainty in migration studies / $c by Jakub Bijak.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xxv, 263 p. : $b ill., digital ; $c 24 cm.
490 1 $a Methodos series, methodological prospects in the social sciences ; $v v. 17
505 0 $a 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.
506 $a Open access.
520 $a 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 and a top-priority policy area. 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. The proposed model-based approach integrates behavioural and social theory with formal modelling, by embedding the interdisciplinary modelling process within a wider inductive framework based on the Bayesian statistical reasoning. Principles of uncertainty quantification are used to devise innovative computer-based simulations, and to learn about modelling the simulated individuals and the way they make decisions. The identified knowledge gaps are subsequently filled with information from dedicated laboratory experiments on cognitive aspects of human decision-making under uncertainty. In this way, the models are built iteratively, from the bottom up, filling an important epistemological gap in migration studies, and social sciences more broadly.
650 0 $a Demography $x Methodology. $3 546140
650 0 $a Emigration and immigration $x Simulation methods. $3 3593953
650 1 4 $a Demography. $3 614991
650 2 4 $a Statistics for Social Sciences, Humanities, Law. $3 3382004
650 2 4 $a Migration. $3 899018
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Methodos series, methodological prospects in the social sciences ; $v v. 17. $3 3593952
856 4 0 $u https://doi.org/10.1007/978-3-030-83039-7
950 $a Social Sciences (SpringerNature-41176)