Perspectives on big data analysis : methodologies and applications : International Workshop on Perspectives on High-Dimension Data Anlaysis II, May 30-June 1, 2012, Centre de Recherches Mathématiques, Université de Montréal, Montréal /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ahmed, S. E. (Syed Ejaz), 1957- (Autor, Editor )
Autor Corporativo: International Workshop on Perspectives on High-Dimensional Data Analysis Montréal, Québec
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: Providence, Rhode Island : Montréal, Québec, Canada : American Mathematical Society ; Centre de Recherches Mathématiques, [2014]
Colección:Contemporary mathematics (American Mathematical Society) ; v. 622.
Contemporary mathematics (American Mathematical Society). Centre de recherches mathématiques proceedings.
Temas:
Multivariate analysis > Congresses.
Artificial intelligence > Congresses.
Big data > Congresses.
Analyse multivariée > Congrès.
Intelligence artificielle > Congrès.
Données volumineuses > Congrès.
Artificial intelligence
Big data
Multivariate analysis
Conference papers and proceedings
Acceso en línea:Texto completo

MARC

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111 2 |a International Workshop on Perspectives on High-Dimensional Data Analysis  |n (2nd :  |d 2012 :  |c Montréal, Québec) 
245 1 0 |a Perspectives on big data analysis :  |b methodologies and applications : International Workshop on Perspectives on High-Dimension Data Anlaysis II, May 30-June 1, 2012, Centre de Recherches Mathématiques, Université de Montréal, Montréal /  |c S. Ejaz Ahmed, editor. 
264 1 |a Providence, Rhode Island :  |b American Mathematical Society ;  |a Montréal, Québec, Canada :  |b Centre de Recherches Mathématiques,  |c [2014] 
264 4 |c ©2014 
300 |a 1 online resource (xi, 191 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Contemporary mathematics,  |x 0271-4132 ;  |v 622 
490 1 |a Centre de Recherches Mathématiques proceedings 
504 |a Includes bibliographical references. 
588 0 |a Print version record. 
505 0 0 |t Principal Component Analysis (PCA) for high-dimensional data. PCA is dead. Long live PCA /  |r Fan Yang, Kjell Doksum and Kam-Wah Tsui --  |u http://www.ams.org/conm/622/  |u http://dx.doi.org/10.1090/conm/622/12430  |t Solving a System of High-Dimensional Equations by MCMC /  |r Nozer D. Singpurwalla and Joshua Landon --  |u http://www.ams.org/conm/622/  |u http://dx.doi.org/10.1090/conm/622/12437  |t A slice sampler for the hierarchical Poisson/Gamma random field model /  |r Jian Kang and Timothy D. Johnson --  |u http://www.ams.org/conm/622/  |u http://dx.doi.org/10.1090/conm/622/12434  |t A new penalized quasi-likelihood approach for estimating the number of states in a hidden Markov model /  |r Annaliza McGillivray and Abbas Khalili --  |u http://www.ams.org/conm/622/  |u http://dx.doi.org/10.1090/conm/622/12435  |t Efficient adaptive estimation strategies in high-dimensional partially linear regression models /  |r Xiaoli Gao and S. Ejaz Ahmed --  |u http://www.ams.org/conm/622/  |u http://dx.doi.org/10.1090/conm/622/12441  |t Geometry and properties of generalized ridge regression in high dimensions /  |r Hemant Ishwaran and J. Sunil Rao --  |u http://www.ams.org/conm/622/  |u http://dx.doi.org/10.1090/conm/622/12438  |t Multiple testing for high-dimensional data /  |r Guoqing Diao, Bret Hanlon and Anand N. Vidyashankar --  |u http://www.ams.org/conm/622/  |u http://dx.doi.org/10.1090/conm/622/12440  |t On multiple contrast tests and simultaneous confidence intervals in high-dimensional repeated measures designs /  |r Frank Konietschke, Yulia R. Gel and Edgar Brunner --  |u http://www.ams.org/conm/622/  |u http://dx.doi.org/10.1090/conm/622/12431  |t Data-driven smoothing can preserve good asymptotic properties /  |r Zhouwang Yang, Huizhi Xie and Xiaoming Huo --  |u http://www.ams.org/conm/622/  |u http://dx.doi.org/10.1090/conm/622/12433  |t Variable selection for ultra-high-dimensional logistic models /  |r Pang Du, Pan Wu and Hua Liang --  |u http://www.ams.org/conm/622/  |u http://dx.doi.org/10.1090/conm/622/12436  |t Shrinkage estimation and selection for a logistic regression model /  |r Shakhawat Hossain and S. Ejaz Ahmed --  |u http://www.ams.org/conm/622/  |u http://dx.doi.org/10.1090/conm/622/12432  |t Manifold unfolding by Isometric Patch Alignment with an application in protein structure determination /  |r Pooyan Khajehpour Tadavani, Babak Alipanahi and Ali Ghodsi --  |u http://www.ams.org/conm/622/  |u http://dx.doi.org/10.1090/conm/622/12429 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Multivariate analysis  |v Congresses. 
650 0 |a Artificial intelligence  |v Congresses. 
650 0 |a Big data  |v Congresses. 
650 6 |a Analyse multivariée  |v Congrès. 
650 6 |a Intelligence artificielle  |v Congrès. 
650 6 |a Données volumineuses  |v Congrès. 
650 7 |a Artificial intelligence  |2 fast 
650 7 |a Big data  |2 fast 
650 7 |a Multivariate analysis  |2 fast 
655 7 |a Conference papers and proceedings  |2 fast 
700 1 |a Ahmed, S. E.  |q (Syed Ejaz),  |d 1957-  |e editor,  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PCjv4GYFkhGDfDVVhCb8dXq 
776 0 8 |i Print version:  |a International Workshop on Perspectives on High-Dimension Data Anlaysis (2nd : 2012 : Montréal, Québec).  |t Perspectives on big data analysis.  |d Providence, Rhode Island : American Mathematical Society ; Montréal, Québec, Canada : Centre de Recherches Mathématiques, [2014]  |z 9781470410421  |w (DLC) 2014000814  |w (OCoLC)867916794 
830 0 |a Contemporary mathematics (American Mathematical Society) ;  |v v. 622. 
830 0 |a Contemporary mathematics (American Mathematical Society).  |p Centre de recherches mathématiques proceedings. 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=3114333  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL3114333 
938 |a YBP Library Services  |b YANK  |n 12372036 
994 |a 92  |b IZTAP 

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