000 | 04255nam a22005655i 4500 | ||
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001 | 978-3-030-83039-7 | ||
003 | DE-He213 | ||
005 | 20240508091659.0 | ||
007 | cr nn 008mamaa | ||
008 | 211209s2022 sz | s |||| 0|eng d | ||
020 |
_a9783030830397 _9978-3-030-83039-7 |
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024 | 7 |
_a10.1007/978-3-030-83039-7 _2doi |
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050 | 4 | _aHB848-3697 | |
072 | 7 |
_aJHBD _2bicssc |
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_aSOC006000 _2bisacsh |
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_aJHBD _2thema |
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_a304.6 _223 |
100 | 1 |
_aBijak, Jakub. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aTowards Bayesian Model-Based Demography _h[electronic resource] : _bAgency, Complexity and Uncertainty in Migration Studies / _cby Jakub Bijak. |
250 | _a1st ed. 2022. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022. |
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300 |
_aXXV, 263 p. 46 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aMethodos Series, Methodological Prospects in the Social Sciences, _x2542-9892 ; _v17 |
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505 | 0 | _aPart 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 | 0 | _aOpen Access | |
520 | _aThis 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 | _aDemography. | |
650 | 0 | _aPopulation. | |
650 | 0 |
_aSocial sciences _xStatistical methods. |
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650 | 0 | _aEmigration and immigration. | |
650 | 1 | 4 | _aPopulation and Demography. |
650 | 2 | 4 | _aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. |
650 | 2 | 4 | _aHuman Migration. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030830380 |
776 | 0 | 8 |
_iPrinted edition: _z9783030830403 |
776 | 0 | 8 |
_iPrinted edition: _z9783030830410 |
830 | 0 |
_aMethodos Series, Methodological Prospects in the Social Sciences, _x2542-9892 ; _v17 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-83039-7 |
912 | _aZDB-2-SLS | ||
912 | _aZDB-2-SXS | ||
912 | _aZDB-2-SOB | ||
999 |
_c37936 _d37936 |