Assessing the Continuous Causal Responses of Typhoon-related Weather on Human Mobility: An Empirical Study in Japan

Author:

Zhiwen Zhang1ORCID,Wang Hongjun2ORCID,Fan Zipei1ORCID,Shibasaki Ryosuke1ORCID,Song Xuan1ORCID

Affiliation:

1. The University of Tokyo, Tokyo, Japan

2. SUSTech, Shenzhen, China

Funder

National Key Research and Development Program of China

Japan Society for the Promotion of Science

Publisher

ACM

Reference41 articles.

1. Luca Ambrogioni , Umut Gücc lü , Marcel AJ van Gerven, and Eric Maris. 2017 . The kernel mixture network: A nonparametric method for conditional density estimation of continuous random variables. arXiv preprint arXiv:1705.07111 (2017). Luca Ambrogioni, Umut Gücc lü, Marcel AJ van Gerven, and Eric Maris. 2017. The kernel mixture network: A nonparametric method for conditional density estimation of continuous random variables. arXiv preprint arXiv:1705.07111 (2017).

2. Christopher M Bishop. 1994. Mixture density networks. (1994). Christopher M Bishop. 1994. Mixture density networks. (1994).

3. The power of possibility: causal learning, counterfactual reasoning, and pretend play

4. Thomas C Chalmers , Harry Smith Jr , Bradley Blackburn, Bernard Silverman , Biruta Schroeder, Dinah Reitman, and Alexander Ambroz. 1981 . A method for assessing the quality of a randomized control trial. Controlled clinical trials, Vol. 2 , 1 (1981), 31--49. Thomas C Chalmers, Harry Smith Jr, Bradley Blackburn, Bernard Silverman, Biruta Schroeder, Dinah Reitman, and Alexander Ambroz. 1981. A method for assessing the quality of a randomized control trial. Controlled clinical trials, Vol. 2, 1 (1981), 31--49.

5. BART: Bayesian additive regression trees

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