Shinto Eguchi
Shinto Eguchi
Підтверджена електронна адреса в ism.ac.jp - Домашня сторінка
Назва
Посилання
Посилання
Рік
Information geometry of U-Boost and Bregman divergence
N Murata, T Takenouchi, T Kanamori, S Eguchi
Neural Computation 16 (7), 1437-1481, 2004
2182004
Robust blind source separation by beta divergence
M Mihoko, S Eguchi
Neural computation 14 (8), 1859-1886, 2002
2032002
Robust parameter estimation with a small bias against heavy contamination
H Fujisawa, S Eguchi
Journal of Multivariate Analysis 99 (9), 2053-2081, 2008
1992008
Interpreting kullback–leibler divergence with the neyman–pearson lemma
S Eguchi, J Copas
Journal of Multivariate Analysis 97 (9), 2034-2040, 2006
1832006
Second order efficiency of minimum contrast estimators in a curved exponential family
S Eguchi
The Annals of Statistics, 793-803, 1983
1801983
Geometry of minimum contrast
S Eguchi
Hiroshima Mathematical Journal 22 (3), 631-647, 1992
1201992
Local sensitivity approximations for selectivity bias
J Copas, S Eguchi
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2001
1122001
Robustifying maximum likelihood estimation
S Eguchi, Y Kano
Tokyo Institute of Statistical Mathematics, Tokyo, Japan, Tech. Rep, 2001
1092001
A class of logistic‐type discriminant functions
S Eguchi, J Copas
Biometrika 89 (1), 1-22, 2002
972002
Robust estimation in the normal mixture model
H Fujisawa, S Eguchi
Journal of Statistical Planning and Inference 136 (11), 3989-4011, 2006
802006
Robustifying AdaBoost by adding the naive error rate
T Takenouchi, S Eguchi
Neural Computation 16 (4), 767-787, 2004
802004
A differential geometric approach to statistical inference on the basis of contrast functionals
S Eguchi
Hiroshima mathematical journal 15 (2), 341-391, 1985
741985
Robust kernel principal component analysis
SY Huang, YR Yeh, S Eguchi
Neural computation 21 (11), 3179-3213, 2009
702009
A paradox concerning nuisance parameters and projected estimating functions
M Henmi, S Eguchi
Biometrika 91 (4), 929-941, 2004
702004
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
701998
A boosting method for maximizing the partial area under the ROC curve
O Komori, S Eguchi
BMC bioinformatics 11 (1), 1-17, 2010
672010
Local model uncertainty and incomplete‐data bias (with discussion)
J Copas, S Eguchi
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2005
622005
Identification of biomarkers from mass spectrometry data using a" common" peak approach
T Fushiki, H Fujisawa, S Eguchi
BMC bioinformatics 7 (1), 1-9, 2006
602006
Robust prewhitening for ICA by minimizing β-divergence and its application to FastICA
MNH Mollah, S Eguchi, M Minami
Neural Processing Letters 25 (2), 91-110, 2007
572007
Supervised image classification by contextual AdaBoost based on posteriors in neighborhoods
R Nishii, S Eguchi
IEEE Transactions on Geoscience and Remote Sensing 43 (11), 2547-2554, 2005
522005
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