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
Tabla de Contenidos:
  • Principal Component Analysis (PCA) for high-dimensional data. PCA is dead. Long live PCA / Fan Yang, Kjell Doksum and Kam-Wah Tsui
  • http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12430 Solving a System of High-Dimensional Equations by MCMC / Nozer D. Singpurwalla and Joshua Landon
  • http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12437 A slice sampler for the hierarchical Poisson/Gamma random field model / Jian Kang and Timothy D. Johnson
  • http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12434 A new penalized quasi-likelihood approach for estimating the number of states in a hidden Markov model / Annaliza McGillivray and Abbas Khalili
  • http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12435 Efficient adaptive estimation strategies in high-dimensional partially linear regression models / Xiaoli Gao and S. Ejaz Ahmed
  • http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12441 Geometry and properties of generalized ridge regression in high dimensions / Hemant Ishwaran and J. Sunil Rao
  • http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12438 Multiple testing for high-dimensional data / Guoqing Diao, Bret Hanlon and Anand N. Vidyashankar
  • http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12440 On multiple contrast tests and simultaneous confidence intervals in high-dimensional repeated measures designs / Frank Konietschke, Yulia R. Gel and Edgar Brunner
  • http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12431 Data-driven smoothing can preserve good asymptotic properties / Zhouwang Yang, Huizhi Xie and Xiaoming Huo
  • http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12433 Variable selection for ultra-high-dimensional logistic models / Pang Du, Pan Wu and Hua Liang
  • http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12436 Shrinkage estimation and selection for a logistic regression model / Shakhawat Hossain and S. Ejaz Ahmed
  • http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12432 Manifold unfolding by Isometric Patch Alignment with an application in protein structure determination / Pooyan Khajehpour Tadavani, Babak Alipanahi and Ali Ghodsi
  • http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12429

Ejemplares similares