| Robust parameter estimation with a small bias against heavy contamination H Fujisawa, S Eguchi Journal of Multivariate Analysis 99 (9), 2053-2081, 2008 | 332 | 2008 |
| Information geometry of U-Boost and Bregman divergence N Murata, T Takenouchi, T Kanamori, S Eguchi Neural Computation 16 (7), 1437-1481, 2004 | 240 | 2004 |
| Robust blind source separation by beta divergence M Mihoko, S Eguchi Neural computation 14 (8), 1859-1886, 2002 | 237 | 2002 |
| Interpreting kullback–leibler divergence with the neyman–pearson lemma S Eguchi, J Copas Journal of Multivariate Analysis 97 (9), 2034-2040, 2006 | 234 | 2006 |
| Second order efficiency of minimum contrast estimators in a curved exponential family S Eguchi The Annals of Statistics, 793-803, 1983 | 215 | 1983 |
| Geometry of minimum contrast S Eguchi Hiroshima Mathematical Journal 22 (3), 631-647, 1992 | 158 | 1992 |
| Robustifying maximum likelihood estimation S Eguchi, Y Kano Tokyo Institute of Statistical Mathematics, Tokyo, Japan, Tech. Rep, 2001 | 127 | 2001 |
| Local sensitivity approximations for selectivity bias J Copas, S Eguchi Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2001 | 115 | 2001 |
| A class of logistic‐type discriminant functions S Eguchi, J Copas Biometrika 89 (1), 1-22, 2002 | 114 | 2002 |
| Robust estimation in the normal mixture model H Fujisawa, S Eguchi Journal of Statistical Planning and Inference 136 (11), 3989-4011, 2006 | 106 | 2006 |
| A differential geometric approach to statistical inference on the basis of contrast functionals S Eguchi Hiroshima mathematical journal 15 (2), 341-391, 1985 | 104 | 1985 |
| A paradox concerning nuisance parameters and projected estimating functions M Henmi, S Eguchi Biometrika 91 (4), 929-941, 2004 | 102 | 2004 |
| Robustifying AdaBoost by adding the naive error rate T Takenouchi, S Eguchi Neural Computation 16 (4), 767-787, 2004 | 90 | 2004 |
| Robust kernel principal component analysis SY Huang, YR Yeh, S Eguchi Neural computation 21 (11), 3179-3213, 2009 | 82 | 2009 |
| A boosting method for maximizing the partial area under the ROC curve O Komori, S Eguchi BMC bioinformatics 11, 1-17, 2010 | 80 | 2010 |
| Local model uncertainty and incomplete-data bias (with discussion) J Copas, S Eguchi Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2005 | 77 | 2005 |
| A class of local likelihood methods and near-parametric asymptotics S Eguchi, J Copas Journal of the Royal Statistical Society Series B: Statistical Methodology …, 1998 | 73 | 1998 |
| Robust Prewhitening for ICA by Minimizing β-Divergence and Its Application to FastICA MNH Mollah, S Eguchi, M Minami Neural Processing Letters 25, 91-110, 2007 | 71 | 2007 |
| Identification of biomarkers from mass spectrometry data using a" common" peak approach T Fushiki, H Fujisawa, S Eguchi BMC bioinformatics 7, 1-9, 2006 | 63 | 2006 |
| Robust extraction of local structures by the minimum β-divergence method MNH Mollah, N Sultana, M Minami, S Eguchi Neural Networks 23 (2), 226-238, 2010 | 62 | 2010 |
Takashi TakenouchiFUTURE UNIVERSITY HAKODATEVerified email at fun.ac.jp
