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 math�ematiques, University de Montr�eal, Montr�eal, Qu�ebec, Canada / [electronic resource]
S. Ejaz Ahmed, editor.
- 1 online resource (pages cm.)
- Contemporary mathematics, v. 622 0271-4132 (print); 1098-3627 (online); .
Includes bibliographical references and index.
Principal Component Analysis (PCA) for high-dimensional data. PCA is dead. Long live PCA / Solving a System of High-Dimensional Equations by MCMC / A slice sampler for the hierarchical Poisson/Gamma random field model / A new penalized quasi-likelihood approach for estimating the number of states in a hidden Markov model / Efficient adaptive estimation strategies in high-dimensional partially linear regression models / Geometry and properties of generalized ridge regression in high dimensions / Multiple testing for high-dimensional data / On multiple contrast tests and simultaneous confidence intervals in high-dimensional repeated measures designs / Data-driven smoothing can preserve good asymptotic properties / Variable selection for ultra-high-dimensional logistic models / Shrinkage estimation and selection for a logistic regression model / Manifold unfolding by Isometric Patch Alignment with an application in protein structure determination / Fan Yang, Kjell Doksum and Kam-Wah Tsui -- Nozer D. Singpurwalla and Joshua Landon -- Jian Kang and Timothy D. Johnson -- Annaliza McGillivray and Abbas Khalili -- Xiaoli Gao and S. Ejaz Ahmed -- Hemant Ishwaran and J. Sunil Rao -- Guoqing Diao, Bret Hanlon and Anand N. Vidyashankar -- Frank Konietschke, Yulia R. Gel and Edgar Brunner -- Zhouwang Yang, Huizhi Xie and Xiaoming Huo -- Pang Du, Pan Wu and Hua Liang -- Shakhawat Hossain and S. Ejaz Ahmed -- 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 http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12440 http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12431 http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12433 http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12436 http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12432 http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12429
Access is restricted to licensed institutions
Electronic reproduction.
Providence, Rhode Island :
American Mathematical Society.
2014
Mode of access : World Wide Web
9781470418878 (online)
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 testing.
QA278 / .I585 2012
519.5/35
Includes bibliographical references and index.
Principal Component Analysis (PCA) for high-dimensional data. PCA is dead. Long live PCA / Solving a System of High-Dimensional Equations by MCMC / A slice sampler for the hierarchical Poisson/Gamma random field model / A new penalized quasi-likelihood approach for estimating the number of states in a hidden Markov model / Efficient adaptive estimation strategies in high-dimensional partially linear regression models / Geometry and properties of generalized ridge regression in high dimensions / Multiple testing for high-dimensional data / On multiple contrast tests and simultaneous confidence intervals in high-dimensional repeated measures designs / Data-driven smoothing can preserve good asymptotic properties / Variable selection for ultra-high-dimensional logistic models / Shrinkage estimation and selection for a logistic regression model / Manifold unfolding by Isometric Patch Alignment with an application in protein structure determination / Fan Yang, Kjell Doksum and Kam-Wah Tsui -- Nozer D. Singpurwalla and Joshua Landon -- Jian Kang and Timothy D. Johnson -- Annaliza McGillivray and Abbas Khalili -- Xiaoli Gao and S. Ejaz Ahmed -- Hemant Ishwaran and J. Sunil Rao -- Guoqing Diao, Bret Hanlon and Anand N. Vidyashankar -- Frank Konietschke, Yulia R. Gel and Edgar Brunner -- Zhouwang Yang, Huizhi Xie and Xiaoming Huo -- Pang Du, Pan Wu and Hua Liang -- Shakhawat Hossain and S. Ejaz Ahmed -- 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 http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12440 http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12431 http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12433 http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12436 http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12432 http://www.ams.org/conm/622/ http://dx.doi.org/10.1090/conm/622/12429
Access is restricted to licensed institutions
Electronic reproduction.
Providence, Rhode Island :
American Mathematical Society.
2014
Mode of access : World Wide Web
9781470418878 (online)
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 testing.
QA278 / .I585 2012
519.5/35