@techreport{oai:ipsj.ixsq.nii.ac.jp:00218596,
 author = {三崎, 滉太 and 松島, 慎 and Kota, Misaki and Shin, Matsushima},
 issue = {26},
 month = {Jun},
 note = {社会科学や自然科学の分野において複数の要素間の因果関係を把握することに対する需要は高い．このような因果関係を探るために，ランダム化比較試験 (Randomized Controlled Trial, RCT) と呼ばれる実験を行うこともあるが，これは金銭的・倫理的な観点から実施が難しいことが往々にしてある．そうした場合において，介入を行っていない観測データのみを利用して統計的な因果推論を行う手法が提案されている．GES (Chickering, 2002) や LiNGAM (Shimizu et al., 2006, Shimizu et al., 2011), NO TEARS (Zheng et al.,2018) がそれらの例である．本研究では，その中でも Direct LiNGAM (Shimizu et al., 2011) に対して，NO TEARS のような因果推論問題を数理最適化に置き換える発想を導入し，Direct LiNGAM の目的関数の定式化を行った．さらに，その定式化から明らかになった問題点を解決する形で目的関数の改善を行った．その目的関数を可能な限り厳密に最適化することで得られた結果が，従来の Direct LiNGAM によるものを精度において上回ることを示した．, There is a high demand for understanding causal relationships among multiple factors in the social and natural sciences. To explore such causal relationships, experiments called randomized controlled trials (Randomized Controlled Trial, RCT) are sometimes conducted, which can be difficult to conduct from financial and ethical perspectives. In such cases, methods have been proposed to perform statistical causal inference using only observational data without intervention, such as GES (Chickering, 2002), LiNGAM (Shimizu et al., 2006, Shimizu et al., 2011), NOTEARS (Zheng et al., 2018) are examples of them. In this study, among them, for Direct LiNGAM (Shimizu et al., 2011), we introduced the idea of replacing a causal inference problem like NO TEARS with mathematical optimization and formulated the objective function of Direct LiNGAM.Furthermore, we improved the objective function in a way that solves the problems identified in the formulation. The results obtained by optimizing the objective function more rigorously outperformed those obtained by conventional Direct LiNGAM in terms of accuracy.},
 title = {因果探索におけるAsymmetries手法とScore-Based手法のハイブリッド型アルゴリズムの設計に向けて},
 year = {2022}
}