A. D. Barbour, Poisson approximation by the Stein-Chen method, Stochastic Processes and their Applications, vol.26, issue.4, pp.425-427, 1990.
DOI : 10.1016/0304-4149(87)90060-3

Y. Berger, Rate of convergence to normal distribution for the Horvitz-Thompson estimator, Journal of Statistical Planning and Inference, vol.67, issue.2, pp.209-226, 1998.
DOI : 10.1016/S0378-3758(97)00107-9

P. Bertail, E. Chautru, and S. Clémençon, Empirical processes in survey sampling, Scandinavian Journal of Statistics, 2016.
URL : https://hal.archives-ouvertes.fr/hal-00989585

L. Bondesson, I. Traat, and A. Lundqvist, Pareto Sampling versus Sampford and Conditional Poisson Sampling, Scandinavian Journal of Statistics, vol.3, issue.4, pp.699-720, 2006.
DOI : 10.1016/S0378-3758(03)00150-2

N. E. Breslow and J. A. Wellner, Weighted Likelihood for Semiparametric Models and Two-phase Stratified Samples, with Application to Cox Regression, Scandinavian Journal of Statistics, vol.16, issue.1, pp.86-102, 2007.
DOI : 10.1177/0049124189017003003

N. E. Breslow and J. A. Wellner, A Z-theorem with Estimated Nuisance Parameters and Correction Note for ???Weighted Likelihood for Semiparametric Models and Two-phase Stratified Samples, with Application to Cox Regression???, Scandinavian Journal of Statistics, vol.49, issue.1, 2008.
DOI : 10.1214/074921707000000382

K. R. Brewer and M. E. Donadio, The high entropy variance of the Horvitz-Thompson estimator, Survey Methodology, vol.29, issue.2, pp.189-196, 2003.

H. Cardot, D. Degras, and E. Josserand, Confidence bands for Horvitz???Thompson estimators using sampled noisy functional data, Bernoulli, vol.19, issue.5A, pp.2067-2097, 2013.
DOI : 10.3150/12-BEJ443

H. Cardot, A. Dessertaine, C. Goga, E. Josserand, and P. Lardin, Comparison of different sample designs and construction of confidence bands to estimate the mean of functional data: An illustration on electricity consumption, Survey Methodology, vol.39, pp.283-301, 2013.

A. Chambaz and P. Neuvial, tmle.npvi: targeted, integrative search of associations between DNA copy number and gene expression, accounting for DNA methylation: Fig. 1., Bioinformatics, vol.31, issue.18, pp.313054-3056, 2015.
DOI : 10.1093/bioinformatics/btv320
URL : https://hal.archives-ouvertes.fr/hal-01490380

A. Chambaz and P. Neuvial, Targeted Learning of a Non-Parametric Variable Importance Measure of a Continuous Exposure, 2016.

A. Chambaz, P. Neuvial, and M. J. Van-der-laan, Estimation of a non-parametric variable importance measure of a continuous exposure, Electronic Journal of Statistics, vol.6, issue.0, pp.1059-1099, 2012.
DOI : 10.1214/12-EJS703
URL : https://hal.archives-ouvertes.fr/hal-00629899

A. Grafström, Entropy of unequal probability sampling designs, Statistical Methodology, vol.7, issue.2, pp.84-97, 2010.
DOI : 10.1016/j.stamet.2009.10.005

J. Hajek, Asymptotic Theory of Rejective Sampling with Varying Probabilities from a Finite Population, The Annals of Mathematical Statistics, vol.35, issue.4, pp.1491-1523
DOI : 10.1214/aoms/1177700375

M. Hanif and K. R. Brewer, Sampling with Unequal Probabilities without Replacement: A Review, International Statistical Review / Revue Internationale de Statistique, vol.48, issue.3, pp.317-335, 1980.
DOI : 10.2307/1402944

K. Joag-dev and F. Proschan, Negative association of random variables with applications. The Annals of Statistics, pp.286-295, 1983.

J. Pearl, Causality: models, reasoning and inference, 2000.
DOI : 10.1017/CBO9780511803161

M. R. Sampford, On sampling without replacement with unequal probabilities of selection, Biometrika, vol.54, issue.3-4, pp.499-513, 1967.
DOI : 10.1093/biomet/54.3-4.499

M. J. Van-der-laan, Statistical Inference for Variable Importance, The International Journal of Biostatistics, vol.2, issue.1, 2006.
DOI : 10.2202/1557-4679.1008

M. J. Van-der-laan, Abstract, The International Journal of Biostatistics, vol.12, issue.1, 2016.
DOI : 10.1515/ijb-2015-0054

M. J. Van-der-laan and S. D. Lendle, Online targeted learning
URL : https://hal.archives-ouvertes.fr/hal-01487574

M. J. Van-der-laan and S. Rose, Targeted learning, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01487574

M. J. Van-der-laan and D. Rubin, Targeted Maximum Likelihood Learning, The International Journal of Biostatistics, vol.2, issue.1, 2006.
DOI : 10.2202/1557-4679.1043

A. W. Van and . Vaart, Asymptotic statistics, volume 3 of Cambridge Series in Statistical and Probabilistic Mathematics, 1998.

A. W. Van-der, J. A. Vaart, and . Wellner, Weak Convergence and empirical processes, 1996.
DOI : 10.1007/978-1-4757-2545-2

J. C. Wang, Sample distribution function based goodness-of-fit test for complex surveys, Computational Statistics & Data Analysis, vol.56, issue.3, pp.664-679, 2012.
DOI : 10.1016/j.csda.2011.09.015