Reconstruction of populations by stochastic optimization

Sensitivity analysis

Datos Bibliográficos

ID19083350
AutoresNoël Bonneuil (0000-0002-3196-2793, Institut national d’études démographiques, Paris, France, and École des hautes études en sciences sociales, Paris, France, autor de correspondencia)
Año2017
Volumen24
Número3
Páginas181-189
Fecha de publicación2017-07-03
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMathematical Population Studies (JOURNAL)
Identificadores de la revistaISSN: 0889-8480 • E-ISSN: 1547-724X
EditorialTaylor & Francis (PUBLISHER • GB)
DOI10.1080/08898480.2017.1330014
OpenAlexW2751657794
IdiomaEN
Referencias citadas15

The reconstruction of populations by stochastic optimization solves the nontrivial problem of finding demographic flows from population registers or vital statistics and censuses, if available. These flows allow the reconstruction of stocks (age pyramids and vital statistics). After a review of reconstruction methods, the sensitivity analysis shows the robustness of the method by stochastic optimization to flawed or missing values, to the length of the reconstruction period, and to variations in the actual demographic flows

Biology · Econometrics · Mathematical optimization · Population · Statistics · Stochastic modelling · Stochastic optimization · Computer Science · Demography · Engineering · Forensic Anthropology and Bioarchaeology Studies · Insurance, Mortality, Demography, Risk Management · Mathematics