Constructive quadratic functional quantization and critical dimension
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Constructive quadratic functional quantization and critical dimension |
2. | Creator | Author's name, affiliation, country | Harald Luschgy; Universität Trier; Germany |
2. | Creator | Author's name, affiliation, country | Gilles Pagès; Université Paris 6 UPMC; France |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | quadratic functional quantization; Karhunen-Lo\`eve expansion; Gaussian process ; optimal quantizer ; asymptotically optimal quantizer ; Shannon's entropy |
3. | Subject | Subject classification | 60G15 ; 60G99 ; 94A29 |
4. | Description | Abstract | We propose a constructive proof for the sharp rate of optimal quadratic functional quantization and we tackle the asymptotics of the critical dimension for quadratic functional quantization of Gaussian stochastic processes as the quantization level goes to infinity, i.e. the smallest dimensional truncation of an optimal quantization of the process which is "fully" quantized. We first establish a lower bound for this critical dimension based on the regular variation index of the eigenvalues of the Karhunen-Loève expansion of the process. This lower bound is consistent with the commonly shared sharp rate conjecture (and supported by extensive numerical experiments). Moreover, we show that, conversely, optimized quadratic functional quantizations based on this critical dimension rate are always asymptotically optimal (strong admissibility result). |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2014-06-13 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ejp.ejpecp.org/article/view/3010 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v19-3010 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 19 |
12. | Language | English=en | en |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
15. | Rights | Copyright and permissions | The Electronic Journal of Probability applies the Creative Commons Attribution License (CCAL) to all articles we publish in this journal. Under the CCAL, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles published in EJP, so long as the original authors and source are credited. This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available. Summary of the Creative Commons Attribution License You are free
|