Masashi Hyodo

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 7

Top Topics

Variable Selection

Statistical Hypothesis Testing

Interval Estimation

Top Venues

J. Multivar. Anal.

Commun. Stat. Simul. Comput.

Publications

Masashi Hyodo, Takahiro Nishiyama, Tatjana Pavlenko
A Behrens-Fisher problem for general factor models in high dimensions. J. Multivar. Anal. 195 (2023)
Tomoyuki Nakagawa, Hiroki Watanabe, Masashi Hyodo
Kick-one-out-based variable selection method for Euclidean distance-based classifier in high-dimensional settings. J. Multivar. Anal. 184 (2021)
Masashi Hyodo, Takahiro Nishiyama, Tatjana Pavlenko
Testing for independence of high-dimensional variables: ρV-coefficient based approach. J. Multivar. Anal. 178 (2020)
Hiroki Watanabe, Masashi Hyodo, Shigekazu Nakagawa
Two-way MANOVA with unequal cell sizes and unequal cell covariance matrices in high-dimensional settings. J. Multivar. Anal. 179 (2020)
Masashi Hyodo, Hiroki Watanabe, Takashi Seo
On simultaneous confidence interval estimation for the difference of paired mean vectors in high-dimensional settings. J. Multivar. Anal. 168 (2018)
Yuki Yamada, Masashi Hyodo, Takahiro Nishiyama
Testing block-diagonal covariance structure for high-dimensional data under non-normality. J. Multivar. Anal. 155 (2017)
Masashi Hyodo
Tests for the parallelism and flatness hypotheses of multi-group profile analysis for high-dimensional elliptical populations. J. Multivar. Anal. 162 (2017)
Hiroki Watanabe, Masashi Hyodo, Takashi Seo, Tatjana Pavlenko
Asymptotic properties of the misclassification rates for Euclidean Distance Discriminant rule in high-dimensional data. J. Multivar. Anal. 140 (2015)
Masashi Hyodo, Sho Takahashi, Takahiro Nishiyama
Multiple Comparisons Among Mean Vectors When the Dimension is Larger Than the Total Sample Size. Commun. Stat. Simul. Comput. 43 (10) (2014)
Masashi Hyodo, Tatsuya Kubokawa
A variable selection criterion for linear discriminant rule and its optimality in high dimensional and large sample data. J. Multivar. Anal. 123 (2014)
Tatsuya Kubokawa, Masashi Hyodo, Muni S. Srivastava
Asymptotic expansion and estimation of EPMC for linear classification rules in high dimension. J. Multivar. Anal. 115 (2013)
Nobumichi Shutoh, Masashi Hyodo, Takashi Seo
An asymptotic approximation for EPMC in linear discriminant analysis based on two-step monotone missing samples. J. Multivar. Anal. 102 (2) (2011)
Masashi Hyodo, Takayuki Yamada
Asymptotic Distribution of Studentized Contribution Ratio in High-Dimensional Principal Component Analysis. Commun. Stat. Simul. Comput. 38 (4) (2009)