| Multiple comparisons of log-likelihoods with applications to phylogenetic inference H Shimodaira, M Hasegawa Molecular biology and evolution 16 (8), 1114, 1999 | 4628 | 1999 |
| An approximately unbiased test of phylogenetic tree selection H Shimodaira Systematic biology 51 (3), 492-508, 2002 | 2913 | 2002 |
| Pvclust: an R package for assessing the uncertainty in hierarchical clustering R Suzuki, H Shimodaira Bioinformatics 22 (12), 1540-1542, 2006 | 2648 | 2006 |
| Improving predictive inference under covariate shift by weighting the log-likelihood function H Shimodaira Journal of statistical planning and inference 90 (2), 227-244, 2000 | 2406 | 2000 |
| CONSEL: for assessing the confidence of phylogenetic tree selection H Shimodaira, M Hasegawa Bioinformatics 17 (12), 1246-1247, 2001 | 2266 | 2001 |
| Mitochondrial genome variation in eastern Asia and the peopling of Japan M Tanaka, VM Cabrera, AM González, JM Larruga, T Takeyasu, N Fuku, ... Genome research 14 (10a), 1832-1850, 2004 | 653 | 2004 |
| Approximately unbiased tests of regions using multistep-multiscale bootstrap resampling H Shimodaira The Annals of Statistics, 2004 | 408 | 2004 |
| Quantitative transcriptional control of ErbB receptor signaling undergoes graded to biphasic response for cell differentiation T Nagashima, H Shimodaira, K Ide, T Nakakuki, Y Tani, K Takahashi, ... Journal of biological chemistry 282 (6), 4045-4056, 2007 | 199 | 2007 |
| Appropriate likelihood ratio tests and marginal distributions for evolutionary tree models with constraints on parameters R Ota, PJ Waddell, M Hasegawa, H Shimodaira, H Kishino Molecular biology and evolution 17 (5), 798-803, 2000 | 119 | 2000 |
| Evaluating hypotheses on the origin and evolution of the New Zealand alpine cicadas (Maoricicada) using multiple-comparison tests of tree topology TR Buckley, C Simon, H Shimodaira, GK Chambers Molecular Biology and Evolution 18 (2), 223-234, 2001 | 110 | 2001 |
| An application of multiple comparison techniques to model selection H Shimodaira Annals of the Institute of Statistical Mathematics 50, 1-13, 1998 | 89 | 1998 |
| An application of multiscale bootstrap resampling to hierarchical clustering of microarray data: How accurate are these clusters R Suzuki, H Shimodaira The Fifteenth International Conference on Genome Informatics 34, 2004 | 86 | 2004 |
| PAFit: A statistical method for measuring preferential attachment in temporal complex networks T Pham, P Sheridan, H Shimodaira PloS one 10 (9), e0137796, 2015 | 84 | 2015 |
| Joint estimation of preferential attachment and node fitness in growing complex networks T Pham, P Sheridan, H Shimodaira Scientific reports 6 (1), 32558, 2016 | 79 | 2016 |
| Testing regions with nonsmooth boundaries via multiscale bootstrap H Shimodaira Journal of Statistical Planning and Inference 138 (5), 1227-1241, 2008 | 76 | 2008 |
| 赤池情報量規準 AIC―モデリング・予測・知識発見― 赤池弘次， 甘利俊一， 北川源四郎， 樺島祥介， 下平英寿， 室田一雄， ... 共立出版 61, 62, 2007 | 75 | 2007 |
| Hierarchical clustering with P-values via multiscale bootstrap resampling R Suzuki, H Shimodaira R package, 2013 | 72 | 2013 |
| Active learning algorithm using the maximum weighted log-likelihood estimator T Kanamori, H Shimodaira Journal of statistical planning and inference 116 (1), 149-162, 2003 | 71 | 2003 |
| Multiple comparisons of log-likelihoods and combining nonnested models with applications to phylogenetic tree selection H Shimodaira Communications in Statistics-Theory and Methods 30 (8-9), 1751-1772, 2001 | 57 | 2001 |
| A new criterion for selecting models from partially observed data H Shimodaira Selecting models from data: artificial intelligence and statistics IV, 21-29, 1994 | 52 | 1994 |
Masami HasegawaProfessor of Life Sciences, Fudan Universityfudan.edu.cn의 이메일 확인됨
