E-LIB Suche - Ergebnisse für: Ninomiya, Yoshiyuki

1

Smoothly varying regularization:

Kim, Daeju ; Kawano, Shuichi ; Ninomiya, Yoshiyuki
Computational Statistics & Data Analysis. 179 (2023) - p. 107644 , 2023

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

2

Information Criteria for Detecting Change-Points in the Cox..:

Ozaki, Ryoto ; Ninomiya, Yoshiyuki
Biometrics. 79 (2023) 4 - p. 3050-3065 , 2023

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

3

New penalty in information criteria for the ARCH sequence w..:

Ozaki, Ryoto ; Ninomiya, Yoshiyuki
Stat. 12 (2023) 1 - p. , 2023

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

4

Discriminant Analysis via Smoothly Varying Regularization:

, In: Intelligent Decision Technologies; Smart Innovation, Systems and Technologies,

Yoshida, Hisao ; Kawano, Shuichi ; Ninomiya, Yoshiyuki - p. 441-455 , 2021

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

5

A modification of MaxT procedure using spurious correlation:

Ninomiya, Yoshiyuki ; Kuriki, Satoshi ; Shiroishi, Toshihiko.
Journal of Statistical Planning and Inference. 214 (2021) - p. 128-138 , 2021

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

6

AIC for the group Lasso in generalized linear models:

Komatsu, Satoshi ; Yamashita, Yuta ; Ninomiya, Yoshiyuki
Japanese Journal of Statistics and Data Science. 2 (2019) 2 - p. 545-558 , 2019

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

7

AIC for the non-concave penalized likelihood method:

Umezu, Yuta ; Shimizu, Yusuke ; Masuda, Hiroki.
Annals of the Institute of Statistical Mathematics. 71 (2018) 2 - p. 247-274 , 2018

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

8

A Cp criterion for semiparametric causal inference:

BABA, TAKAMICHI ; KANEMORI, TAKAYUKI ; NINOMIYA, YOSHIYUKI
Biometrika. 104 (2017) 4 - p. 845-861 , 2017

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

9

A $C_p$ criterion for semiparametric causal inference:

Baba, Takamichi ; Kanemori, Takayuki ; Ninomiya, Yoshiyuki
Biometrika. 104 (2017) 4 - p. 845-861 , 2017

Link: https://doi.org/10.1093/..

10

Ridge-type regularization method for questionnaire data ana..:

Umezu, Yuta ; Matsuoka, Hidetoshi ; Ikeda, Hiroshi.
Pacific Journal of Mathematics for Industry. 8 (2016) 1 - p. , 2016

Link: https://doi.org/10.1186/..

11

Defect rate evaluation via simple active learning:

Umezu, Yuta ; Matsuoka, Hidetoshi ; Ikeda, Hiroshi.
Pacific Journal of Mathematics for Industry. 7 (2015) 1 - p. , 2015

Link: https://doi.org/10.1186/..

12

Adaptive basis expansion via $$\ell _1$$ ℓ 1 trend filterin:

Kim, Daeju ; Kawano, Shuichi ; Ninomiya, Yoshiyuki
Computational Statistics. 29 (2014) 5 - p. 1005-1023 , 2014

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

13

Change-point model selection via AIC:

Ninomiya, Yoshiyuki
Annals of the Institute of Statistical Mathematics. 67 (2014) 5 - p. 943-961 , 2014

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

14

Chiral and magnetic effects in forbidden x-ray scattering f..:

Kokubun, Jun ; Watanabe, Ayako ; Uehara, Masayoshi...
Physical Review B. 78 (2008) 11 - p. , 2008

Link: https://doi.org/10.1103/..

15

Statistical Method for Detecting Structural Change in the G..:

Ninomiya, Yoshiyuki ; Yoshimoto, Atsushi
Biometrics. 64 (2008) 1 - p. 46-53 , 2008

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