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Journal Articles
- 2023
[j13]Masashi Hyodo, Takahiro Nishiyama, Tatjana Pavlenko:
A Behrens-Fisher problem for general factor models in high dimensions. J. Multivar. Anal. 195: 105162 (2023)- 2021
- [j12]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: 104756 (2021) - 2020
- [j11]Masashi Hyodo, Takahiro Nishiyama, Tatjana Pavlenko:
Testing for independence of high-dimensional variables: ρV-coefficient based approach. J. Multivar. Anal. 178: 104627 (2020) - [j10]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: 104625 (2020) - 2018
- [j9]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: 160-173 (2018) - 2017
- [j8]Yuki Yamada, Masashi Hyodo, Takahiro Nishiyama:
Testing block-diagonal covariance structure for high-dimensional data under non-normality. J. Multivar. Anal. 155: 305-316 (2017) - [j7]Masashi Hyodo:
Tests for the parallelism and flatness hypotheses of multi-group profile analysis for high-dimensional elliptical populations. J. Multivar. Anal. 162: 82-92 (2017) - 2015
- [j6]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: 234-244 (2015) - 2014
- [j5]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): 2283-2306 (2014) - [j4]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: 364-379 (2014) - 2013
- [j3]Tatsuya Kubokawa, Masashi Hyodo, Muni S. Srivastava:
Asymptotic expansion and estimation of EPMC for linear classification rules in high dimension. J. Multivar. Anal. 115: 496-515 (2013) - 2011
- [j2]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): 252-263 (2011) - 2009
- [j1]Masashi Hyodo, Takayuki Yamada:
Asymptotic Distribution of Studentized Contribution Ratio in High-Dimensional Principal Component Analysis. Commun. Stat. Simul. Comput. 38(4): 905-917 (2009)
Coauthor Index
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