Asymptotically optimal quantization schemes for gaussian processes on Hilbert spaces
ESAIM: Probability and Statistics, Tome 14 (2010), pp. 93-116.

We describe quantization designs which lead to asymptotically and order optimal functional quantizers for gaussian processes in a Hilbert space setting. Regular variation of the eigenvalues of the covariance operator plays a crucial role to achieve these rates. For the development of a constructive quantization scheme we rely on the knowledge of the eigenvectors of the covariance operator in order to transform the problem into a finite dimensional quantization problem of normal distributions.

DOI : 10.1051/ps:2008026
Classification : 60G15, 60E99
Mots-clés : functional quantization, gaussian process, brownian motion, Riemann-Liouville process, optimal quantizer
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Luschgy, Harald; Pagès, Gilles; Wilbertz, Benedikt. Asymptotically optimal quantization schemes for gaussian processes on Hilbert spaces. ESAIM: Probability and Statistics, Tome 14 (2010), pp. 93-116. doi : 10.1051/ps:2008026. http://www.numdam.org/articles/10.1051/ps:2008026/

[1] A. Benveniste, P. Priouret and M. Métivier, Adaptive algorithms and stochastic approximations. Springer-Verlag, New York, Inc. (1990). | Zbl

[2] P. Cohort, Limit theorems for random normalized distortion. Ann. Appl. Probab. 14 (2004) 118-143. | Zbl

[3] S. Dereich, High resolution coding of stochastic processes and small ball probabilities. Ph.D. thesis, TU Berlin (2003).

[4] A. Gersho and R.M. Gray, Vector Quantization and Signal Compression. Kluwer, Boston (1992). | Zbl

[5] S. Graf and H. Luschgy, Foundations of Quantization for Probability Distributions. Lect. Notes Math. 1730. Springer, Berlin (2000). | Zbl

[6] S. Graf and H. Luschgy, The point density measure in the quantization of self-similar probabilities. Math. Proc. Cambridge Phil. Soc. 138 (2005) 513-531. | Zbl

[7] R.M. Gray and D.L. Neuhoff, Quantization. IEEE Trans. Inform. 44 (1998) 2325-2383. | Zbl

[8] H.J. Kushner and G.G. Yin, Stochastic approximation algorithms and applications. First edition, volume 35 of Applications of Mathematics. Springer-Verlag, New York (1997), p. xxii+417. | Zbl

[9] B. Lapeyre, G. Pagès and K. Sab, Sequences with low discrepancy. Generalization and application to robbins-monro algorithm. Statistics 21 (1990) 251-272. | Zbl

[10] H. Luschgy and G. Pagès, Functional quantization of stochastic processes. J. Funct. Anal. 196 (2002) 486-531. | Zbl

[11] H. Luschgy and G. Pagès, Sharp asymptotics of the functional quantization problem for Gaussian processes. Ann. Probab. 32 (2004) 1574-1599. | Zbl

[12] H. Luschgy and G. Pagès, Sharp asymptotics of the kolmorogov entropy for Gaussian measures. J. Funct. Anal. 212 (2004) 89-120. | Zbl

[13] M. Mrad and S. Ben Hamida, Optimal quantization: Evolutionary algorithm vs. stochastic gradient, in JCIS (2006).

[14] G. Pagès, A space vector quantization method for numerical integration. J. Appl. Comput. Math. 89 (1997) 1-38. | Zbl

[15] G. Pagès, H. Pham and J. Printems, Optimal quantization methods and applications to numerical methods and applications in finance, in Handbook of Computational and Numerical Methods in Finance, S. Rachev (Ed.), Birkhäuser (2004), pp. 253-298. | Zbl

[16] G. Pagès and J. Printems, Optimal quadratic quantization for numerics: the Gaussian case. Monte Carlo Meth. Appl. 9 (2003) 135-166. | Zbl

[17] G. Pagès and J. Printems, Functional quantization for numerics with an application to option pricing. Monte Carlo Meth. Appl. 11 (2005) 407-446. | Zbl

[18] G. Pagès and J. Printems, www.quantize.maths-fi.com. Website devoted to quantization (2005). maths-fi.com.

[19] K.T. Vu and R. Gorenflo, Asymptotics of singular values of volterra integral operators. Numer. Funct. Anal. Optimiz. 17 (1996) 453-461. | Zbl

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