| A two sample test in high dimensional data MS Srivastava, S Katayama, Y Kano Journal of Multivariate Analysis 114, 349-358, 2013 | 155 | 2013 |
| Asymptotic distributions of some test criteria for the mean vector with fewer observations than the dimension S Katayama, Y Kano, MS Srivastava Journal of Multivariate Analysis 116, 410-421, 2013 | 25 | 2013 |
| Lasso penalized model selection criteria for high-dimensional multivariate linear regression analysis S Katayama, S Imori Journal of Multivariate Analysis 132, 138-150, 2014 | 12 | 2014 |
| A new test on high-dimensional mean vector without any assumption on population covariance matrix S Katayama, Y Kano Communications in Statistics-Theory and Methods 43 (24), 5290-5304, 2014 | 9 | 2014 |
| Robust and sparse Gaussian graphical modelling under cell‐wise contamination S Katayama, H Fujisawa, M Drton Stat 7 (1), e181, 2018 | 8 | 2018 |
| Sparse and robust linear regression: An optimization algorithm and its statistical properties S Katayama, H Fujisawa Statistica Sinica, 1243-1264, 2017 | 8 | 2017 |
| Positive-definite modification of a covariance matrix by minimizing the matrix norm with applications to portfolio optimization S Cho, S Katayama, J Lim, YG Choi AStA Advances in Statistical Analysis 105 (4), 601-627, 2021 | 2 | 2021 |
| Computational and statistical analyses for robust non-convex sparse regularized regression problem S Katayama Journal of Statistical Planning and Inference 201, 20-31, 2019 | 2 | 2019 |
| Apparel Item Recommendation using Graph Regularized Nonnegative Tensor Factorization K Tazawa, K Neichi, Y Ohara, K Chikuma, S Katayama, K Nakata Tokyo Institute of Technology Department of Industrial Engineering and …, 2017 | 1 | 2017 |
| High-dimensional mean estimation via ℓ1 penalized normal likelihood S Katayama Journal of Multivariate Analysis 130, 90-106, 2014 | 1 | 2014 |
| Corrigendum to" A two sample test in high dimensional data"[J. Multivariate Anal. 114 (2013) 349-358] MS Srivastava, S Katayama, Y Kano Journal of Multivariate Analysis 119, 209, 2013 | 1 | 2013 |
| Hypothesis testing on high dimensional parameter under confounding S Katayama | | |
| Direct estimation of conditional averaging treatment effect in high dimensions S Katayama | | |
| SEMINAR S Katayama | | |
| Screening and Selection Methods in High-Dimensional Linear Regression Model S Imori, K Shota, W Hirofumi | | |
Yutaka KanoOsaka UniversityVerified email at sigmath.es.osaka-u.ac.jp
