A Bayesian LSTM model to evaluate the effects of air pollution control regulations in Beijing, China

标题
A Bayesian LSTM model to evaluate the effects of air pollution control regulations in Beijing, China
作者
关键词
Air pollution control regulations, Effects of regulatory interventions, Bayesian LSTM, Propensity score, Counterfactual analysis, Causal inference
出版物
ENVIRONMENTAL SCIENCE & POLICY
Volume 115, Issue -, Pages 26-34
出版商
Elsevier BV
发表日期
2020-10-24
DOI
10.1016/j.envsci.2020.10.004

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