000 -LEADER |
fixed length control field |
02023nam a22002177a 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
ISBN |
9783030830410 |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
eng. |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
304.6 |
Item number |
BIJ-T |
100 ## - MAIN ENTRY--AUTHOR NAME |
Personal name |
Bijak, Jakub |
Relator term |
author. |
245 ## - TITLE STATEMENT |
Title |
Towards Bayesian model-based demography : |
Sub Title |
agency, complexity and uncertainty in migration studies / |
Statement of responsibility, etc |
Jakub Bijak ; with contributions by Philip A. Higham [and eight others]. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication |
Cham : |
Name of publisher |
Springer, |
Year of publication |
2022. |
300 ## - PHYSICAL DESCRIPTION |
Number of Pages |
263p. |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and index. |
520 ## - SUMMARY, ETC. |
Summary, etc |
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. |
546 ## - LANGUAGE NOTE |
Language note |
English. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Demography |
General subdivision |
Methodology. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Population. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Social sciences |
General subdivision |
Statistical methods. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Emigration and immigration. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Koha item type |
Books |