Bayesian Prediction of Bi-Component State Space Model to Chinese Population

SHUAIPENG LI, WEIBO HOU

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

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