Yugo Nakayama

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All published works

Action	Title	Year	Authors
+	Correction: Test for high-dimensional outliers with principal component analysis	2025	Yugo Nakayama Kazuyoshi Yata Makoto Aoshima
+	Test for high-dimensional outliers with principal component analysis	2024	Yugo Nakayama Kazuyoshi Yata Makoto Aoshima
+ PDF Chat	A test of sphericity for high-dimensional data and its application for detection of divergently spiked noise	2018	Kazuyoshi Yata Makoto Aoshima Yugo Nakayama
+ PDF Chat	Support vector machine and its bias correction in high-dimension, low-sample-size settings	2017	Yugo Nakayama Kazuyoshi Yata Makoto Aoshima
+	Support vector machine and its bias correction in high-dimension, low-sample-size settings	2017	Yugo Nakayama Kazuyoshi Yata Makoto Aoshima

Common Coauthors

Coauthor	Papers Together
Makoto Aoshima	5
Kazuyoshi Yata	5

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Two-Stage Procedures for High-Dimensional Data	2011	Makoto Aoshima Kazuyoshi Yata	3
+ PDF Chat	Theoretical Measures of Relative Performance of Classifiers for High Dimensional Data with Small Sample Sizes	2008	Peter Hall Yvonne Pittelkow Malay Ghosh	2
+	A distance-based, misclassification rate adjusted classifier for multiclass, high-dimensional data	2013	Makoto Aoshima Kazuyoshi Yata	2
+ PDF Chat	Distance-Weighted Discrimination	2007	J. S. Marron Michael J. Todd Jeongyoun Ahn	2
+ PDF Chat	Geometric Representation of High Dimension, Low Sample Size Data	2005	Peter A. Hall J. S. Marron Amnon Neeman	2
+	Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations	2011	Kazuyoshi Yata Makoto Aoshima	2
+ PDF Chat	Asymptotic properties of the first principal component and equality tests of covariance matrices in high-dimension, low-sample-size context	2015	Aki Ishii Kazuyoshi Yata Makoto Aoshima	2
+	Effective PCA for high-dimension, low-sample-size data with singular value decomposition of cross data matrix	2010	Kazuyoshi Yata Makoto Aoshima	2
+	High-dimensional quadratic classifiers in non-sparse settings	2015	Makoto Aoshima Kazuyoshi Yata	2
+	Some tests for the covariance matrix with fewer observations than the dimension under non-normality	2011	Muni S. Srivastava Tõnu Kollo Dietrich von Rosen	1
+ PDF Chat	Weighted Distance Weighted Discrimination and Its Asymptotic Properties	2010	Xingye Qiao Hao Helen Zhang Yufeng Liu Michael J. Todd J. S. Marron	1
+	A survey on unsupervised outlier detection in high‐dimensional numerical data	2012	Arthur Zimek Erich Schubert Hans‐Peter Kriegel	1
+	The high-dimension, low-sample-size geometric representation holds under mild conditions	2007	Jae Youn Ahn J. S. Marron Klaus Müller Yueh‐Yun Chi	1
+	The maximal data piling direction for discrimination	2010	Jae Youn Ahn J. S. Marron	1
+ PDF Chat	Robust Sparse Principal Component Analysis	2012	Christophe Croux Peter Filzmoser Heinrich Fritz	1
+ PDF Chat	Large Covariance Estimation by Thresholding Principal Orthogonal Complements	2013	Jianqing Fan Yuan Liao Martina Mincheva	1
+	Outliers detection with the minimum covariance determinant estimator in practice	2009	Cécile Fauconnier Gentiane Haesbroeck	1
+	Correlation tests for high-dimensional data using extended cross-data-matrix methodology	2013	Kazuyoshi Yata Makoto Aoshima	1
+	ROBPCA: A New Approach to Robust Principal Component Analysis	2005	Mia Hubert Peter J. Rousseeuw Karlien Vanden Branden	1
+	Asymptotic Normality for Inference on Multisample, High-Dimensional Mean Vectors Under Mild Conditions	2013	Makoto Aoshima Kazuyoshi Yata	1
+ PDF Chat	On Some Test Criteria for Covariance Matrix	1973	Hisao Nagao	1
+ PDF Chat	PCA consistency in high dimension, low sample size context	2009	Sungkyu Jung J. S. Marron	1
+ PDF Chat	A two-sample test for high-dimensional data with applications to gene-set testing	2010	Song Xi Chen Yingli Qin	1
+	Eigenvalues of large sample covariance matrices of spiked population models	2005	Jinho Baik Jack W. Silverstein	1
+ PDF Chat	PCA Consistency for Non-Gaussian Data in High Dimension, Low Sample Size Context	2009	Kazuyoshi Yata Makoto Aoshima	1
+	Outlier identification in high dimensions	2007	Peter Filzmoser Ricardo A. Maronna Mark Werner	1
+	Outlier detection for high-dimensional data	2015	Kwangil Ro Changliang Zou Zhaojun Wang Guosheng Yin	1
+ PDF Chat	The statistics and mathematics of high dimension low sample size asymptotics	2016	Dan Shen Haipeng Shen Hongtu Zhu J. S. Marron	1
+ PDF Chat	Two-sample tests for high-dimension, strongly spiked eigenvalue models	2017	Xia Yin Tianxi Cai Tommaso Cai	1
+	Distance-based outlier detection for high dimension, low sample size data	2018	Jeongyoun Ahn Myung Hee Lee Jung Ae Lee	1
+ PDF Chat	Equality tests of high-dimensional covariance matrices under the strongly spiked eigenvalue model	2019	Aki Ishii Kazuyoshi Yata Makoto Aoshima	1
+	High-dimensional inference on covariance structures via the extended cross-data-matrix methodology	2016	Kazuyoshi Yata Makoto Aoshima	1
+ PDF Chat	Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models	2018	Makoto Aoshima Kazuyoshi Yata	1
+ PDF Chat	Geometric consistency of principal component scores for high‐dimensional mixture models and its application	2019	Kazuyoshi Yata Makoto Aoshima	1
+ PDF Chat	Some hypothesis tests for the covariance matrix when the dimension is large compared to the sample size	2002	Olivier Ledoit Michael Wolf	1
+ PDF Chat	Hypothesis tests for high-dimensional covariance structures	2020	Aki Ishii Kazuyoshi Yata Makoto Aoshima	1
+	Subspace rotations for high-dimensional outlier detection	2020	H Chung Jeongyoun Ahn	1
+ PDF Chat	High-dimensional outlier detection using random projections	2021	Paula Navarro-Esteban Juan A. Cuesta‐Albertos	1
+ PDF Chat	An adjusted Grubbs' and generalized extreme studentized deviation	2021	Mufda Jameel Alrawashdeh	1
+ PDF Chat	Authors' Response	2011	Makoto Aoshima Kazuyoshi Yata	1
+ PDF Chat	On the distribution of the largest eigenvalue in principal components analysis	2001	Iain M. Johnstone	1
+	ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL	2007	Debashis Paul	1
+	Geometric Classifier for Multiclass, High-Dimensional Data	2015	Makoto Aoshima Kazuyoshi Yata	1
+ PDF Chat	Sparse PCA for High-Dimensional Data With Outliers	2015	Mia Hubert Tom Reynkens Éric Schmitt Tim Verdonck	1
+	Flexible High-dimensional Classification Machines and Their Asymptotic Properties	2013	Xingye Qiao Lingsong Zhang	1
+	PCA consistency for the power spiked model in high-dimensional settings	2013	Kazuyoshi Yata Makoto Aoshima	1
+	Percentage Points for a Generalized ESD Many-Outlier Procedure	1983	Bernard Rosner	1
+	Scale adjustments for classifiers in high-dimensional, low sample size settings	2009	Y.-B. Chan Peter Hall	1
+	Outlier detection for high dimensional data using the Comedian approach	2011	T. A. Sajesh M. R. Srinivasan	1
+	Procedures for Detecting Outlying Observations in Samples	1969	Frank E. Grubbs	1