Bayesian Prediction of Bi-Component State Space Model to Chinese Population
Abstract
A series of problems brought by the growth of population are perplexing all over the world with the accelerating process of globalization. Therefore, it is urgent to study population prediction, and use the cohort component method and bi-component state space model for predicting population reasonably and effectively, thereby reducing resource waste, and adhering to the path of sustainable development.
Keywords
Bayesian Prediction, Cohort Component Method, Bi-component State Space Model.Text
DOI
10.12783/dtcse/cisnrc2019/33329
10.12783/dtcse/cisnrc2019/33329
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