Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté. Image fixe : sans médiation
Auteur(s) : International workshop on perspectives on high-dimensional data analysis (2 ; 2012
; Montréal, Québec)
Titre(s) : Perspectives on big data analysis [Texte imprimé] : methodologies and applications : International Workshop on Perspectives on High-Dimensional Data Anlaysis II, May 30-June 1, 2012, Centre de recherches mathématiques, University de Montréal, Montréal, Québec, Canada / S. Ejaz Ahmed, editor
Publication : Providence (R. I.) : American mathematical society, 2014
Description matérielle : 1 vol. (XI-191 p.) : ill. ; 26 cm
Collection : Contemporary mathematics, ISSN 0271-4132 ; 622
Lien à la collection : Contemporary mathematics
Comprend : Principal component analysis (PCA) for high-dimensional data. PCA is dead. Long live
PCA / Fan Yang, Kjell Doksum, and Kam-Wah Tsui ; Solving a system of high-dimensional
equations by MCMC / Nozer D. Singpurwalla and Joshua Landon ; A slice sampler for
the hierarchical poisson/gamma random field model / Jian Kang and Timothy D. Johnson
; A new penalized quasi-likelihood for estimating the number of states in a hidden
Markov model / Annaliza McGillivray and Abbas Khalili ; Efficient adaptive estimation
strategies in high-dimensional partially linear regression models / Xiaoli Gao and
S. Ejaz Ahmed ; Geometry and properties of generalized ridge regression in high dimensions
/ Hemant Ishwaran and J. Sunil Rao ; Multiple testing for high-dimensional data /
Guoqing Diao, Bret Hanlon, and Anand N. Vidyashankar ; On multiple contrast tests
and simultaneous confidence intervals in high-dimensional repeated measures designs
/ Frank Konietschke, Yulia R. Gel, and Edgar Brunner ; Data-driven smoothing can
preserve good asymptotic properties / Zhouwang Yang, Huizhi Xie, and Xiaoming Huo
; Variable selection for ultra-high-dimensional logistic models / Pang Du, Pan Wu,
and Hua Liang ; Shrinkage estimation and selection for a logistic regression model
/ Shakhawat Hossain and S. Ejaz Ahmed ; Manifold unfolding by isometric patch alignment
with an application in protein structure determination / Pooyan Khajehpour Tadavani,
Babak Alipanahi, and Ali Ghodsi.
Note(s) : Notes bibliogr.
Autre(s) auteur(s) : Ahmed, Syed Ejaz (1957-....). Éditeur scientifique
Autre(s) forme(s) du titre :
- Titre de dos : Big data analysis
Sujet(s) : Analyse multivariée
Intelligence artificielle
Données massives
Genre ou forme : Actes de congrès
Indice(s) Dewey :
519.535 (23e éd.) = Analyse multivariée
Identifiants, prix et caractéristiques : ISBN 9781470410421. - ISBN 1470410427 (br.)
Identifiant de la notice : ark:/12148/cb438986670
Notice n° :
FRBNF43898667
(notice reprise d'un réservoir extérieur)
