P. Billingsley, Convergence of Probability Measure, Wiley Series in Probability and Mathematical Statistics, p.253, 1968.
DOI : 10.1002/9780470316962

L. Coutin and N. Victoir, Enhanced Gaussian Processes and Applications , ESAIM Probab, Stat, vol.13, pp.247-269, 2009.
DOI : 10.1051/ps:2008007

URL : http://archive.numdam.org/article/PS_2009__13__247_0.pdf

J. A. Cuesta-albertos and C. Matrán, The strong law of large numbers for k-means and best possible nets of Banach valued random variables, Probability Theory and Related Fields, vol.9, issue.4, pp.523-534, 1988.
DOI : 10.1007/BF00353875

S. Dereich, The coding complexity of diffusion processes under <mml:math altimg="si1.gif" display="inline" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd"><mml:msup><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow></mml:msup><mml:mrow><mml:mo>[</mml:mo><mml:mn>0</mml:mn><mml:mo>,</mml:mo><mml:mn>1</mml:mn><mml:mo>]</mml:mo></mml:mrow></mml:math>-norm distortion, Stochastic Processes and their Applications, vol.118, issue.6, pp.938-951, 2008.
DOI : 10.1016/j.spa.2007.07.002

S. Dereich, F. Fehringer, A. Matoussi, and M. Scheutzow, On the link between small ball probabilities and the quantization problem for Gaussian measures on Banach spaces, Journal of Theoretical Probability, vol.16, issue.1, pp.249-265, 2003.
DOI : 10.1023/A:1022242924198

P. Friz, Continuity of the Itô-map for Hölder rough paths with applications to the support theorem in Hölder norm. Probability and partial differential equations in modern applied mathematics, Math. Appl, vol.140, pp.117-135, 2005.

P. Friz and N. Victoir, Differential equations driven by Gaussian signals, Annales de l'Institut Henri Poincar??, Probabilit??s et Statistiques, vol.46, issue.2, pp.707-0313, 2007.
DOI : 10.1214/09-AIHP202

P. Friz and N. Victoir, Differential Equations Driven by Gaussian Signals II, pp.711-0668, 2007.
DOI : 10.1214/09-aihp202

URL : http://arxiv.org/pdf/0707.0313v1.pdf

P. Friz and N. Victoir, Multidimensional Stochastic Differential Equations as Rough Paths: Theory and Applications, Cambridge Studies in Advanced Mathematics, p.670, 2010.
DOI : 10.1017/cbo9780511845079

S. Graf and H. Luschgy, Foundations of Quantization for Probability Distributions, Lect. Notes in Math, vol.1730, 1730.
DOI : 10.1007/BFb0103945

S. Graf, H. Luschgy, and G. Pagès, Functional Quantization and Small Ball Probabilities for Gaussian Processes, Journal of Theoretical Probability, vol.16, issue.4, pp.1047-1062, 2003.
DOI : 10.1023/B:JOTP.0000012005.32667.9d

URL : https://hal.archives-ouvertes.fr/hal-00104809

S. Graf, H. Luschgy, and G. Pagès, Optimal quantizers for Radon random vectors in a Banach space, Journal of Approximation Theory, vol.144, issue.1, pp.27-53, 2007.
DOI : 10.1016/j.jat.2006.04.006

URL : https://hal.archives-ouvertes.fr/hal-00004668

S. Graf, H. Luschgy, and G. Pagès, Distortion mismatch in the quantization of probability measures, ESAIM: Probability and Statistics, vol.12, pp.127-153, 2008.
DOI : 10.1051/ps:2007044

URL : https://hal.archives-ouvertes.fr/hal-00019228

A. Lejay, An Introduction to Rough Paths, Lecture Notes in Mathematics, vol.1832, pp.1-59, 2003.
DOI : 10.1007/978-3-540-40004-2_1

URL : https://hal.archives-ouvertes.fr/inria-00102184

A. Lejay, Yet another introduction to rough paths, Lecture Notes in Mathematics, pp.1-101, 1979.
DOI : 10.1007/978-3-642-01763-6_1

URL : https://hal.archives-ouvertes.fr/inria-00107460

A. Lejay, On rough differential equations, Electronic Journal of Probability, vol.14, issue.0, pp.341-364, 2009.
DOI : 10.1214/EJP.v14-613

URL : https://hal.archives-ouvertes.fr/inria-00278246

A. Lejay, Global solutions to rough differential equations with unbounded vector fields, pre-pub. Inria 00451193, 2010.

H. Luschgy and G. Pagès, Functional quantization of Gaussian processes, Journal of Functional Analysis, vol.196, issue.2, pp.486-531, 2002.
DOI : 10.1016/S0022-1236(02)00010-1

URL : https://hal.archives-ouvertes.fr/hal-00102159

H. Luschgy and G. Pagès, Sharp asymptotics of the functional quantization problem for Gaussian processes, Ann. Probab, vol.32, pp.1574-1599, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00102159

H. Luschgy and G. Pagès, Functional quantization of a class of Brownian diffusions: A constructive approach, Stochastic Processes and their Applications, vol.116, issue.2, pp.310-336, 2006.
DOI : 10.1016/j.spa.2005.09.003

URL : https://hal.archives-ouvertes.fr/hal-00018855

H. Luschgy and G. Pagès, High-resolution product quantization for Gaussian processes under sup-norm distortion, Bernoulli, vol.13, issue.3, pp.653-671, 2007.
DOI : 10.3150/07-BEJ6025

URL : https://hal.archives-ouvertes.fr/hal-00171801

H. Luschgy and G. Pagès, Functional quantization rate and mean regularity of processes with an application to L??vy processes, The Annals of Applied Probability, vol.18, issue.2, pp.427-469, 2008.
DOI : 10.1214/07-AAP459

H. Luschgy, G. Pagès, and B. Wilbertz, Asymptotically optimal quantization schemes for Gaussian processes, ESAIM P&S, vol.12, pp.127-153, 2008.
DOI : 10.1051/ps:2008026

URL : https://hal.archives-ouvertes.fr/hal-00258618

T. Lyons, Interpretation and Solutions of ODE's Driven by Rough signals, Proc. Symposia Pure, p.1583, 1995.

T. Lyons, Differential equations driven by rough signals, Revista Matem??tica Iberoamericana, vol.14, issue.2, pp.215-310, 1998.
DOI : 10.4171/RMI/240

T. Lyons, M. J. Caruana, and T. Lévy, Differential equations driven by rough paths Notes from T. Lyons's course atÉcole at´atÉcole d'´ eté de Saint-Flour, Lect. Notes in Math, 1908.

G. Pagès and J. Printems, Functional quantization for numerics with an application to option pricing, Monte Carlo Methods and Applications, vol.11, issue.4, pp.407-446, 2005.
DOI : 10.1515/156939605777438578

G. Pagès and J. Printems, Website devoted to vector and functional optimal quantization: www.quantize.maths-fi, 2005.