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Perspectives on big data analysis : [electronic resource] methodologies and applications : International Workshop on Perspectives on High-Dimension Data Anlaysis II, May 30-June 1, 2012, Centre de recherches math�ematiques, University de Montr�eal, Montr�eal, Qu�ebec, Canada / S. Ejaz Ahmed, editor.

By: (2nd : International Workshop on Perspectives on High-Dimension Data Anlaysis (2nd : 2012 : Montr�eal, Qu�ebec)Contributor(s): Ahmed, S. E. (Syed Ejaz), 1957- [editor of compilation.]Material type: Text

TextSeries: Contemporary mathematics ; v. 622Publisher: Providence, Rhode Island : American Mathematical Society, 2014Description: 1 online resource (pages cm.)Content type: text Media type: unmediated Carrier type: volumeISBN: 9781470418878 (online)Subject(s): Multivariate analysis -- Congresses | Artificial intelligence -- Congresses | Big data -- Congresses | Computer science -- Artificial intelligence -- None of the above, but in this section | Statistics -- Multivariate analysis -- Factor analysis and principal components; correspondence analysis | Statistics -- Linear inference, regression -- Ridge regression; shrinkage estimators | Statistics -- Parametric inference -- Asymptotic properties of tests | Statistics -- Nonparametric inference -- Estimation | Statistics -- Inference from stochastic processes -- Markov processes: estimation | Statistics -- Nonparametric inference -- Nonparametric regression | Probability theory and stochastic processes | Statistics -- Nonparametric inference -- None of the above, but in this section | Statistics -- Multivariate analysis -- Hypothesis testingAdditional physical formats: Perspectives on big data analysis :DDC classification: 519.5/35 LOC classification: QA278 | .I585 2012Other classification: 68T99 | 62H25 | 62J07 | 62F05 | 62G05 | 62M05 | 62G08 | 60-XX | 62G99 | 62H15 Online resources: Contents | Contents

Contents:

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

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Current library	Home library	Call number	Materials specified	URL	Status	Date due	Barcode
IMSc Library	IMSc Library			Link to resource	Available		EBK11904

Includes bibliographical references and index.

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 approach 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 --

http://www.ams.org/conm/622/

http://dx.doi.org/10.1090/conm/622/12430

http://www.ams.org/conm/622/

http://dx.doi.org/10.1090/conm/622/12437

http://www.ams.org/conm/622/

http://dx.doi.org/10.1090/conm/622/12434

http://www.ams.org/conm/622/

http://dx.doi.org/10.1090/conm/622/12435

http://www.ams.org/conm/622/

http://dx.doi.org/10.1090/conm/622/12441

http://www.ams.org/conm/622/

http://dx.doi.org/10.1090/conm/622/12438