2004 - 2005 Development of Statistical methodology for searching disease related factors based on proteomic and clinical information
2003 - 2004 マイクロアレイデータからの関連遺伝子抽出のためのブリッジング・スタディー
2003 - 2004 Discriminant analysis of spatial data based on fusion of Markov random fields and machine learning
2001 - 2003 Fusion of Statistics, Neural-Net, Machine Learning
2000 - 2002 Study on statistical theory of carsinogenesis model and its application to data in radiation epidemiology
2000 - 2002 Research of Algorithms in terms of Information Geometry Structure and Discrete Time Integrable Systems
2000 - 2001 Statistical Models for Causal Inference
1998 - 1999 A local likelihood approach to semiparametric inference
1993 - 1993 無限ネットワーク上のポテンシャル論とその応用
1992 - 1992 等質系の理論
1990 - 1990 関数微分方程式の位相的及び解析的研究
1985 - 1985 統計的推測における微分幾何の方法
bioinformatics
Local likelihood analysis
Statistical methodology of neural computation
Information geometry and Statistical Inference
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Papers (95)：
Osamu Komori, Yusuke Saigusa, Shinto Eguchi. Statistical learning for species distribution models in ecological studies. Japanese Journal of Statistics and Data Science. 2023. 6. 2. 803-826
Daisuke Yoneoka, Katsuhiro Omae, Masayuki Henmi, Shinto Eguchi. Area under the curve-optimized synthesis of prediction models from a meta-analytical perspective. Research synthesis methods. 2022. 14. 2. 234-246
Hideitsu Hino, Shinto Eguchi. Active learning by query by committee with robust divergences. Information Geometry. 2022
Yusuke Saigusa, Shinto Eguchi, Osamu Komori. Generalized quasi-linear mixed-effects model. Statistical Methods in Medical Research. 2022. 31. 7. 1280-1291
Shogo Kato, Toshinao Yoshiba, Shinto Eguchi. Copula-based measures of asymmetry between the lower and upper tail probabilities. Statistical Papers. 2022
Osamu Komori, Mari Pritchard, Shinto Eguchi. Multiple suboptimal solutions for prediction rules in gene expression data. Computational and Mathematical Methods in Medicine. 2013. 2013
