A Dynamic Bayesian Network-Based Framework for Probabilistic Prediction of China's Population Development

To accurately predict changes to the future population of China is essential for effective socio-economic planning and policy making due to the rapidly shifting demographics of the nation. Traditional population forecasts statistical models, grey model, deterministic time series often fail to take i