Consistency of log-likelihood-based information criteria for selecting variables in high-dimensional canonical correlation analysis under nonnormality

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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	Doctor of Science
Date of Granted	2015-03-23
Degree Grantors	広島大学