Perspectives on Big Data Analysis : (Record no. 69835)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05140nam a22004813i 4500 |
| 001 - CONTROL NUMBER | |
| control field | EBC3114333 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MiAaPQ |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240729124605.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d | |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240724s2014 xx o ||||0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781470418878 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781470410421 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (MiAaPQ)EBC3114333 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (Au-PeEL)EBL3114333 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaPaEBR)ebr11040337 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)922981795 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | MiAaPQ |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | MiAaPQ |
| Modifying agency | MiAaPQ |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA278 -- .P477 2014eb |
| 082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.5/35 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ahmed, S. Ejaz. |
| 245 10 - TITLE STATEMENT | |
| Title | Perspectives on Big Data Analysis : |
| Remainder of title | Methodologies and Applications. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Providence : |
| Name of producer, publisher, distributor, manufacturer | American Mathematical Society, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2014. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | ©2014. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (208 pages) |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 490 1# - SERIES STATEMENT | |
| Series statement | Contemporary Mathematics ; |
| Volume/sequential designation | v.622 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Cover -- Title page -- Contents -- Preface -- Principal Component Analysis (PCA) for high-dimensional data. PCA is dead. Long live PCA -- 1. Introduction -- 2. Association regression models based on PCA -- 3. Dual eigenanalysis and models for stratified populations -- 4. Association test statistics -- 5. Simulations -- References -- Solving a System of High-Dimensional Equations by MCMC -- 1. Introduction: Background -- 2. The underlying equations -- 3. Reparameterization using a latent variable -- 4. The statistical model and its solution -- 5. Extending the approach -- 6. Summary and conclusions -- References -- A slice sampler for the hierarchical Poisson/Gamma random field model -- 1. Introduction -- 2. Hierarchical Poisson/gamma random fields -- 3. The algorithm -- 4. Examples -- 5. Meta-analysis of functional neuroimaging data -- 6. Discussion -- References -- A new penalized quasi-likelihood approach for estimating the number of states in a hidden Markov model -- 1. Introduction -- 2. Hidden Markov models -- 3. The new method for order estimation: MSCAD_{ } -- 4. Asymptotic study -- 5. Simulation studies -- 6. Empirical illustrations -- 7. Discussion and conclusion -- Appendix A. Proofs -- Appendix B. Simulations -- References -- Efficient adaptive estimation strategies in high-dimensional partially linear regression models -- 1. Introduction -- 2. High-dimensional shrinkage strategy -- 3. Asymptotic analysis -- 4. Numerical studies -- 5. Real data analysis -- 6. Concluding remarks and future outlook -- Appendix A. -- References -- Geometry and properties of generalized ridge regression in high dimensions -- 1. Introduction -- 2. Geometry and properties of the GRR estimator when ≥ -- 3. Implications for GRR when ≥ -- 4. Discussion -- Appendix A. Proofs -- References -- Multiple testing for high-dimensional data -- 1. Introduction. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 2. High-dimensional efficient score test -- 3. Implementation -- 4. Simulation study -- 5. Applications -- 6. Discussion -- References -- On multiple contrast tests and simultaneous confidence intervals in high-dimensional repeated measures designs -- 1. Introduction -- 2. Statistical model, hypotheses and test statistics -- 3. Inference for \vT in a high-dimensional case -- 4. Simulations -- 5. Example -- 6. Discussion -- Appendix A. Proof of Theorem 3.1 -- References -- Data-driven smoothing can preserve good asymptotic properties -- 1. Introduction -- 2. The data-driven method -- 3. Theoretical properties -- 4. Numerical experiments -- 5. Conclusion -- Appendix A. -- References -- Variable selection for ultra-high-dimensional logistic models -- 1. Introduction -- 2. High-dimensional SCAD -- 3. Simulation studies -- 4. Real data example -- 5. Discussion -- Appendix A. -- References -- Shrinkage estimation and selection for a logistic regression model -- 1. Introduction -- 2. Estimation strategies -- 3. Asymptotic results and comparison -- 4. Simulation results -- 5. Example: low birth weight data -- 6. Discussion and conclusion -- Appendix A. Proof of Theorems 3.2 and 3.3 -- References -- Manifold unfolding by Isometric Patch Alignment with an application in protein structure determination -- 1. Introduction -- 2. The proposed method -- 3. Experiments -- 4. Conclusion -- References -- Back Cover. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based on publisher supplied metadata and other sources. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Multivariate analysis -- Congresses. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence -- Congresses. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Big data -- Congresses. |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| Main entry heading | Ahmed, S. Ejaz |
| Title | Perspectives on Big Data Analysis |
| Place, publisher, and date of publication | Providence : American Mathematical Society,c2014 |
| International Standard Book Number | 9781470410421 |
| 797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN) | |
| Corporate name or jurisdiction name as entry element | ProQuest (Firm) |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Contemporary Mathematics |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=3114333">https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=3114333</a> |
| Public note | Click to View |
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