Shota Katayama
Shota Katayama
Підтверджена електронна адреса в econ.keio.ac.jp - Домашня сторінка
Назва
Посилання
Посилання
Рік
A two sample test in high dimensional data
MS Srivastava, S Katayama, Y Kano
Journal of Multivariate Analysis 114, 349-358, 2013
1262013
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
212013
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
72014
Lasso penalized model selection criteria for high-dimensional multivariate linear regression analysis
S Katayama, S Imori
Journal of Multivariate Analysis 132, 138-150, 2014
62014
Sparse and robust linear regression: An optimization algorithm and its statistical properties
S Katayama, H Fujisawa
Statistica Sinica, 1243-1264, 2017
52017
Robust and sparse Gaussian graphical modelling under cell‐wise contamination
S Katayama, H Fujisawa, M Drton
Stat 7 (1), e181, 2018
42018
Computational and statistical analyses for robust non-convex sparse regularized regression problem
S Katayama
Journal of Statistical Planning and Inference 201, 20-31, 2019
12019
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
12017
High-dimensional mean estimation via ℓ1 penalized normal likelihood
S Katayama
Journal of Multivariate Analysis 130, 90-106, 2014
12014
Positive-definite modification of a covariance matrix by minimizing the matrix ℓ ∞ norm with applications to portfolio optimization
S Cho, S Katayama, J Lim, YG Choi
AStA Advances in Statistical Analysis, 1-27, 2021
2021
Positive-definite modification of a covariance matrix by minimizing the matrix ℓ∞ norm with applications to portfolio optimization
S Cho, S Katayama, J Lim, YG Choi
AStA Advances in Statistical Analysis, 2021
2021
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, 2013
2013
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
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