Shota Katayama's Home Page

Preprint

[1] Imori, S., Katayama, S. and Wakaki, H. (2014)
Screening and Selection Methods in High-Dimensional Linear Regression Model

Print

[8] Katayama, S. (2018+)
Computational and Statistical Analyses for Robust Non-convex Sparse Regularized Regression Problem
Journal of Statistical Planning and Inference, In press.
[7] Katayama, S., Fujisawa, H. and Drton, M. (2018)
Robust and sparse Gaussian graphical modeling under cell-wise contamination
Stat, Volume 7, Issue 1, e181.
[6] Katayama, S. and Fujisawa, H. (2017)
Sparse and Robust Linear Regression: An Optimization Algorithm and Its Statistical Properties
Statistica Sinica, Volume 27, Pages 1243-1264.
[5] Katayama, S. and Imori, S. (2014)
Lasso Penalized Model Selection Criteria for High-Dimensional Multivariate Linear Regression Analysis
Journal of Multivariate Analysis. Volume 132, Pages 138-150.
[4] Katayama, S. (2014)
High-Dimensional Mean Estimation via $\ell_1$-Penalized Normal Likelihood
Journal of Multivariate Analysis. Volume 130, Pages 90-106.
[3] Katayama, S., Kano, Y., Srivastava, M. S. (2013)
Asymptotic Distributions of Some Test Criteria for the Mean Vector with Fewer Observations than the Dimension
Journal of Multivariate Analysis. Volume 116, Pages 410-421.
Ranked in the top 25 hottest articles (January to March 2013)
[2] Srivastava, M.S., Katayama, S. and Kano, Y.(2012)
A Two Sample Test in High Dimensional Data
Journal of Multivariate Analysis. Volume 114, Pages 349-358.
Ranked in the top 25 hottest articles (January to June 2013)
[1] Katayama, S. and Kano, Y. (2012)
A New Test on High-Dimensional Mean Vector Without Any Assumption on Population Covariance Matrix
Communications in Statistics -Theory and Methods-. Volume 43, Nomber 24, Pages 5290-5304.

Domestic

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[2] 田澤浩二, 吉住宗朔, 平野豪一, 片山翔太, 中田和秀. 「待ち行列シミュレータを用いた区役所における職員配置最適化」, オペレーションズ・リサーチ 62(2), 75-82. (2017).