Comprehensive study on statistical causal inference

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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.