研究概要

研究テーマ

• 統計学
• 機械学習

主要論文

「*」は、理研外のみでの成果です。

• 1.*Shimodaira, H.:
  “Cross-validation of matching correlation analysis by resampling matching weights”
  Neural Networks 75, 126-140 (2016).
• 2.*Pham, T., Sheridan, P., and Shimodaira, H.:
  “PAFit: A Statistical Method for Measuring Preferential Attachment in Temporal Complex Networks”
  PLoS ONE 10, e0137796 (2015).
• 3.*Shimodaira, H.:
  “Higher-order accuracy of multiscale-double bootstrap for testing regions”
  Journal of Multivariate Analysis 130, 208-223 (2014).
• 4.*Shimodaira, H.:
  “Testing regions with nonsmooth boundaries via multiscale bootstrap”
  Journal of Statistical Planning and Inference 138, 1227-1241 (2008).
• 5.*Suzuki, R. and Shimodaira, H.:
  “pvclust: an R package for assessing the uncertainty in hierarchical clustering”
  Bioinformatics 22, 1540-1542 (2006).
• 6.*Shimodaira, H.:
  “Approximately unbiased tests of regions using multistep-multiscale bootstrap resampling” Annals of Statistics 32, 2616-2641 (2004).
• 7.*Shimodaira, H.:
  “An approximately unbiased test of phylogenetic tree selection”
  Systematic Biology 51, 492-508 (2002).
• 8.*Shimodaira, H. and Hasegawa, M.:
  “CONSEL: for assessing the confidence of phylogenetic tree selection”
  Bioinformatics 17, 1246-1247 (2001).
• 9.*Shimodaira, H.:
  “Improving predictive inference under covariate shift by weighting the log-likelihood function”
  Journal of Statistical Planning and Inference 90, 227-244 (2000).
• 10.*Shimodaira, H. and Hasegawa, M.:
  “Multiple comparisons of log-likelihoods with applications to phylogenetic inference” Molecular Biology and Evolution 16, 1114-1116 (1999).

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