Consistency of log-likelihood-based information criteria for selecting variables in high-dimensional canonical correlation analysis under nonnormality
アクセス数 : 801 件
ダウンロード数 : 595 件
今月のアクセス数 : 0 件
今月のダウンロード数 : 3 件
この文献の参照には次のURLをご利用ください : https://ir.lib.hiroshima-u.ac.jp/00037476
File | |
File | |
File | |
Title ( eng ) |
Consistency of log-likelihood-based information criteria for selecting variables in high-dimensional canonical correlation analysis under nonnormality
|
Title ( jpn ) |
非正規性の下での高次元正準相関分析における変数選択のための対数尤度関数に基づく情報量規準の一致性
|
Creator |
Fukui Keisuke
|
NDC |
Mathematics [ 410 ]
|
Language |
eng
|
Resource Type | doctoral thesis |
Publish Type | Not Applicable (or Unknown) |
Access Rights | open access |
Source Identifier |
Consistency of log-likelihood-based information criteria for selecting variables in high-dimensional canonical correlation analysis under nonnormality; Hiroshima Mathematical Journalに掲載予定
references
|
Dissertation Number | 甲第6640号 |
Degree Name | |
Date of Granted | 2015-03-23 |
Degree Grantors |
広島大学
|