E-LIB Suche - Ergebnisse für: Naito, Kanta

1

Robustness of Principal Component Analysis with Spearman's ..:

Watanabe, Kodai ; Naito, Kanta ; Koch, Inge
Journal of Statistical Theory and Practice. 18 (2024) 1 - p. , 2024

Link: https://doi.org/10.1007/..

2

Simultaneous confidence region of an embedded one-dimension..:

Yamazoe, Hiroya ; Naito, Kanta
Computational Statistics & Data Analysis. 192 (2024) - p. 107891 , 2024

Link: https://doi.org/10.1016/..

3

Microwave heating to form porous TiO2 layer on high-haze FT..:

Okuya, Masayuki ; Suzuki, Kosuke ; Toda, Kyosuke..
Materials Science in Semiconductor Processing. 163 (2023) - p. 107582 , 2023

Link: https://doi.org/10.1016/..

4

Kernel density estimation by stagewise algorithm with a sim..:

Nishida, Kiheiji ; Naito, Kanta
Computational Statistics. 39 (2022) 2 - p. 523-560 , 2022

Link: https://doi.org/10.1007/..

5

Improvement on LASSO-type estimator in nonparametric regres..:

Matsushima, Yuki ; Naito, Kanta
Journal of Nonparametric Statistics. 34 (2022) 4 - p. 964-986 , 2022

Link: https://doi.org/10.1080/..

6

Support vector regression with penalized likelihood:

Uemoto, Takumi ; Naito, Kanta
Computational Statistics & Data Analysis. 174 (2022) - p. 107522 , 2022

Link: https://doi.org/10.1016/..

7

Asymptotics and practical aspects of testing normality with..:

Makigusa, Natsumi ; Naito, Kanta
Journal of Multivariate Analysis. 180 (2020) - p. 104665 , 2020

Link: https://doi.org/10.1016/..

8

Asymptotic normality of a consistent estimator of maximum m..:

Makigusa, Natsumi ; Naito, Kanta
Statistics & Probability Letters. 156 (2020) - p. 108596 , 2020

Link: https://doi.org/10.1016/..

9

Kernel naive Bayes discrimination for high‐dimensional patt..:

Koch, Inge ; Naito, Kanta ; Tanaka, Hiroaki
Australian & New Zealand Journal of Statistics. 61 (2019) 4 - p. 401-428 , 2019

Link: https://doi.org/10.1111/..

10

Asymptotic theory for local estimators based on Bregman div..:

KAWAMURA, Kenta ; NAITO, Kanta
The Canadian Journal of Statistics / La Revue Canadienne de Statistique. 47 (2019) 4 - p. 628-652 , 2019

Link: https://www.jstor.org/st..

11

Asymptotic theory for local estimators based on Bregman div..:

Kawamura, Kenta ; Naito, Kanta
Canadian Journal of Statistics. 47 (2019) 4 - p. 628-652 , 2019

Link: https://doi.org/10.1002/..

12

Regression with stagewise minimization on risk function:

Yoshida, Takuma ; Naito, Kanta
Computational Statistics & Data Analysis. 134 (2019) - p. 123-143 , 2019

Link: https://doi.org/10.1016/..

13

High dimensional asymptotics for the naive Hotelling T2 sta..:

Tamatani, Mitsuru ; Naito, Kanta
Communications in Statistics - Theory and Methods. 48 (2018) 22 - p. 5637-5656 , 2018

Link: https://doi.org/10.1080/..

14

Locally robust methods and near-parametric asymptotics:

Penev, Spiridon ; Naito, Kanta
Journal of Multivariate Analysis. 167 (2018) - p. 395-417 , 2018

Link: https://doi.org/10.1016/..

15

The LMSR method for providing a multidimensional understand..:

Naito, Kanta ; Shimizu, Shouta ; Udagawa, Jun.
Statistical Methods in Medical Research. 27 (2017) 9 - p. 2809-2830 , 2017

Link: https://doi.org/10.1177/..