Volume 13, January 2009
|Page(s)||218 - 246|
|Published online||12 June 2009|
- S. Delattre, S. Graf, H. Luschgy and G. Pagès, Quantization of probability distributions under norm-based distribution measures. Statist. Decisions 22 (2004) 261–282. [CrossRef] [MathSciNet] [Google Scholar]
- J.C. Fort and G. Pagès, Asymptotics of optimal quantizers for some scalar distributions. J. Comput. Appl. Math. 146 (2002) 253–275. [CrossRef] [MathSciNet] [Google Scholar]
- J.H. Friedman, J.L. Bentley and R.A. Finkel, An Algorithm for Finding Best Matches in Logarithmic Expected Time, ACM Trans. Math. Software 3 (1977) 209–226. [Google Scholar]
- A. Gersho and R. Gray, Vector Quantization and Signal Compression, 6th edition. Kluwer, Boston (1992). [Google Scholar]
- S. Graf and H. Luschgy, Foundations of Quantization for Probability Distributions, Lect. Notes Math. 1730. Springer, Berlin (2000). [Google Scholar]
- S. Graf, H. Luschgy and G. Pagès, Distorsion mismatch in the quantization of probability measures, ESAIM: PS 12 (2008) 127–153. [Google Scholar]
- J. McNames, A Fast Nearest-Neighbor algorithm based on a principal axis search tree, IEEE Trans. Pattern Anal. Machine Intelligence 23 (2001) 964–976. [Google Scholar]
- G. Pagès, Space vector quantization method for numerical integration, J. Comput. Appl. Math. 89 (1998) 1–38. [Google Scholar]
- G. Pagès, H. Pham and J. Printems, An Optimal markovian quantization algorithm for multidimensional stochastic control problems, Stochastics and Dynamics 4 (2004) 501–545. [Google Scholar]
- G. Pagès, H. Pham and J. Printems, Optimal quantization methods and applications to numerical problems in finance, Handbook on Numerical Methods in Finance (S. Rachev, ed.), Birkhauser, Boston (2004) 253–298. [Google Scholar]
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