Nagasaki University · Faculty of Information and Data Science / Graduate School of Integrated Science and Technology

Research keywordsselective inference・penalized likelihood・high-dimensional statistics・functional data analysis・propensity score analysis・post-selection inference・AIC bias correction

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• Selective Inference for High-order Interaction Features Selected in a Stepwise Manner Shinya Suzumura,Kazuya Nakagawa,Yuta Umezu,Koji Tsuda,Ichiro Takeuchi IPSJ Transactions on Bioinformatics 14巻1頁-11頁 2021年2021
• A novel sensitive detection method for DNA methylation in circulating free DNA of pancreatic cancer. Keiko Shinjo,Kazuo Hara,Genta Nagae,Takayoshi Umeda,Keisuke Katsushima,Miho Suzuki,Yoshiteru Murofushi,Yuta Umezu,Ichiro Takeuchi,Satoru Takahashi,Yusuke Okuno,Keitaro Matsuo,Hidemi Ito,Shoji Tajima,Hiroyuki Aburatani,Kenji Yamao,Yutaka Kondo PloS one 15巻6号e0233782頁-18頁 2020年2020
• Variable selection in multivariate linear models for functional data via sparse regularization Hidetoshi Matsui,Yuta Umezu Japanese Journal of Statistics and Data Science 3巻2号453頁-467頁 2020年12月2020
• Selective inference via marginal screening for high dimensional classification Yuta Umezu,Ichiro Takeuchi Japanese Journal of Statistics and Data Science 2巻2号559頁-589頁 2019年12月2019

• 超高次元非線形データに対するモデル選択 日本学術振興会 科学研究費助成事業 若手研究 2021年04月 - 2025年03月 研究代表者2021
• 探索的データ解析における統計的推論とその応用 日本学術振興会 科学研究費助成事業 若手研究 2018年04月01日 - 2021年03月31日2018

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