Comprehensive study on statistical causal inference

统计、信息学和社会科学，特别是科学哲学方面的研究人员通过定期举办少数发言者的学术讨论会、每年几次10至15人的专题讨论会和国际会议，进行了积极的学术交流。在政府科研资助的帮助下，我们获得的一些成果是：1)一种新的可靠的协方差选择方法，2)一种利用非正态性确定因果关系方向的新方法，2)2列联表和潜变量模型中不可忽略缺失值的数据的新估计方法，以及iii)澄清条件概率和科学证据之间的关系。

Active academic exchanges among researchers in statistical, informatics and social sciences, including philosophy of science in particular, have been made through hosting colloquiums of a few speakers regularly, symposiums of 10 to 15 talks several times a year, and international meetings. Some of our fruits obtained with the help of the governmental scientific research grant are i) a new robust methodology of the covariance selection, ii) a new method for determining direction of causation using nonnormality, ii) new estimation methods for data with nonignorable missing values in a 2 times 2 contingency table and a latent-variable model, and iii) clarification between conditional probability and scientific evidence.