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Reconstruction of populations by stochastic optimization: Sensitivity analysis
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.
Reconstruction of populations by stochastic optimization: Sensitivity analysis
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.
Reconstruction of populations by stochastic optimization: Sensitivity analysis
Bonneuil, Noël (author)
2017
Article (Journal)
English
Local classification TIB:
770/1905/3175
BKL:
42.11
Biomathematik, Biokybernetik
/
74.80
Demographie
/
31.73
Mathematische Statistik
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