书目详细信息
： Perspectives on big data analysis :
书目信息 机读格式(MARC)
| ISBN： | 9781470410421 (paperback) |
|---|---|
| ISBN： | 1470410427 (paperback) |
| 编目源： | NhCcYBP NhCcYBP |
| 会议名称： | International Workshop on Perspectives on High-Dimensional Data Analysis |
| 题名： | Perspectives on big data analysis : methodologies and applications : International Workshop on Perspectives on High-Dimensional Data Anlaysis II, May 30-June 1, 2012, Centre de Recherches Mathematiques, University de Montreal, Montreal, Quebec, Canada / S. Ejaz Ahmed, editor. |
| 索书号： | O212.4/A286E |
| 载体形态： | xi, 191 pages : illustrations ; 26 cm. |
| 书目附注： | Includes bibliographical references and index. |
| 格式化内容附注： | 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. |