Masashi Hyodo

15 papers Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Low dimensional factor model-based tests for assessing vector correlation in high-dimensional settings.
J. Multivar. Anal.
Masashi Hyodo, Takahiro Nishiyama, Shoichi Narita
2025 J jnl
Equality tests of covariance matrices under a low-dimensional factor structure.
J. Multivar. Anal.
Masashi Hyodo, Takahiro Nishiyama, Hiroki Watanabe, Tomoyuki Nakagawa, Kouji Tahata
2023 J jnl
A Behrens-Fisher problem for general factor models in high dimensions.
J. Multivar. Anal.
Masashi Hyodo, Takahiro Nishiyama, Tatjana Pavlenko
2021 J jnl
Kick-one-out-based variable selection method for Euclidean distance-based classifier in high-dimensional settings.
J. Multivar. Anal.
Tomoyuki Nakagawa, Hiroki Watanabe, Masashi Hyodo
2020 J jnl
Testing for independence of high-dimensional variables: ρV-coefficient based approach.
J. Multivar. Anal.
Masashi Hyodo, Takahiro Nishiyama, Tatjana Pavlenko
2020 J jnl
Two-way MANOVA with unequal cell sizes and unequal cell covariance matrices in high-dimensional settings.
J. Multivar. Anal.
Hiroki Watanabe, Masashi Hyodo, Shigekazu Nakagawa
2018 J jnl
On simultaneous confidence interval estimation for the difference of paired mean vectors in high-dimensional settings.
J. Multivar. Anal.
Masashi Hyodo, Hiroki Watanabe, Takashi Seo
2017 J jnl
Testing block-diagonal covariance structure for high-dimensional data under non-normality.
J. Multivar. Anal.
Yuki Yamada, Masashi Hyodo, Takahiro Nishiyama
2017 J jnl
Tests for the parallelism and flatness hypotheses of multi-group profile analysis for high-dimensional elliptical populations.
J. Multivar. Anal.
Masashi Hyodo
2015 J jnl
Asymptotic properties of the misclassification rates for Euclidean Distance Discriminant rule in high-dimensional data.
J. Multivar. Anal.
Hiroki Watanabe, Masashi Hyodo, Takashi Seo, Tatjana Pavlenko
2014 J jnl
A variable selection criterion for linear discriminant rule and its optimality in high dimensional and large sample data.
J. Multivar. Anal.
Masashi Hyodo, Tatsuya Kubokawa
2014 J jnl
Multiple Comparisons Among Mean Vectors When the Dimension is Larger Than the Total Sample Size.
Commun. Stat. Simul. Comput.
Masashi Hyodo, Sho Takahashi, Takahiro Nishiyama
2013 J jnl
Asymptotic expansion and estimation of EPMC for linear classification rules in high dimension.
J. Multivar. Anal.
Tatsuya Kubokawa, Masashi Hyodo, Muni S. Srivastava
2011 J jnl
An asymptotic approximation for EPMC in linear discriminant analysis based on two-step monotone missing samples.
J. Multivar. Anal.
Nobumichi Shutoh, Masashi Hyodo, Takashi Seo
2009 J jnl
Asymptotic Distribution of Studentized Contribution Ratio in High-Dimensional Principal Component Analysis.
Commun. Stat. Simul. Comput.
Masashi Hyodo, Takayuki Yamada