CHAUVET Guillaume

Book chapters

Chauvet G. (2020) Introduction to Sampling Techniques. In: Ros F., Guillaume S. (eds) Sampling Techniques for Supervised or Unsupervised Tasks, Springer, Cham, pp. 1-21.

Published or accepted

[32] L. Daniel, M. Michot, M. Esvan, P. Guérin, G. Chauvet, F. Pelé (2020), Perceptions, knowledge and practices regarding indoor environmental pollution: a quantitative study among adults of childbearing age. To appear in International journal of Environment Research and Public Health.

[31] G. Chauvet (202X). A note on Chromy's sampling procedure. To appear in Journal of Survey Statistics and Methodology.

[30] G. Chauvet, A.A. Vallée (2020), Consistency of estimators and variance estimators in two-stage sampling. Journal of the Royal Statistical Society, Series B, vol 82, n° 3, pp. 797-815.

[29] G. Chauvet (2020). Large sample properties of the Midzuno sampling scheme with probabilities proportional to size. Statistics and Probability Letters, vol 159.

[28] G. Chauvet, R. Le Gleut (2020), Inference under pivotal sampling: properties, variance estimation and application to tesselation for spatial sampling. Scandinavian Journal of Statistics, pp. 1-24. [Présentation]

[27] B. Gelein, G. Chauvet (2020). Preserving the distribution function in surveys in case of imputation for zero inflated data. Journal of Statistical Planning and Inference, vol n° 206, pp. 84-99.

[26] L. Belin, G. Chauvet, Y. De Rycke, D. Hajage, F. Tubach (2018), Closed-form variance estimator for weighted propensity score estimators with survival outcome. Biometrical Journal, vol n° 60(6), pp. 1151-1163.

[25] H. Chaput, G. Chauvet, D. Haziza, L. Salembier, J. Solard (2018), Joint imputation procedures for categorical variables with application to the French Wealth Survey. Statistics and Applications, vol. 16, pp.123-144 (Invited paper for a special issue in honor of the 80th birthday of Professor J.N.K. Rao) [Présentation]

[24] G. Chauvet, W. Do Paco (2018), Exact balanced random imputation for sample survey data. Computational Statistics and Data Analysis.Computational Statistics and Data Analysis, vol n° 118(C), pp. 1-16.

[23] H. Juillard, G. Chauvet (2018), Variance estimation under monotone non-response for a panel survey. Survey Methodology, vol. 44(2), pp. 269-289.

[22] G. Chauvet, C. Goga (2018), Gini coefficient and Gini coefficient change: linearization versus Bootstrap to estimate the variance. Survey Methodology, vol. 44(1), pp. 17-42.

[21] D. Hajage, Y. De Rycke, G. Chauvet, F. Tubach (2016), Estimation of conditional and marginal odds ratios using the prognostic score. Statistics in Medicine, vol n° 36(4), pp 687-716.

[20] G. Chauvet (2017), A comparison of pivotal sampling and unequal probability sampling with replacement. Statistics and Probability Letters, vol n° 121, pp 1-5. [Supplementary Material]

[19] H. Juillard, G. Chauvet, A. Ruiz-Gazen (2017), Estimation under cross-classified sampling with application to a childhood survey. Journal of the American Statistical Association, vol n°112(518), pp 850-858.

[18] H. Boistard, G. Chauvet, D. Haziza (2016), Doubly robust inference for the distribution function in the presence of missing survey data. Scandinavian Journal of Statistics, vol n°43(3), pp 683-699.

[17] G. Chauvet, D. Haziza et E. Lesage (2016), Examining some aspects of balanced sampling in surveys. Statistica Sinica, vol n°27, pp 313-334.

[16] G. Chauvet (2016), Variance Estimation for the 2006 French Housing Survey. Mathematical Population Studies, vol 23, n°3, pp 147-163. [Présentation]

[15] G. Chauvet (2015), Coupling Methods for multistage sampling. Annals of Statistics, vol 43, n°6, pp 2484-2506.[Présentation]

[14] D. Haziza, C-O. Nambeu, G. Chauvet (2014), Doubly robust imputation procedures for populations containing a large amount of zeroes in surveys. Canadian Journal of Statistics, vol 42, n°4, pp 650-669.

[13] G. Chauvet, G. Tandeau de Marsac (2014), Méthodes d'estimation sur bases de sondage multiples dans le cadre de plans de sondage à deux degrés. Technique d'Enquêtes, vol 40, n°2, pp 367-378. [Présentation]

[12] F.J. Breidt, G. Chauvet (2012), Penalized Balanced Sampling. Biometrika, vol 99, n° 4, pp 945-958.

[11] G. Chauvet (2012), On a characterization of ordered pivotal sampling. Bernoulli, vol 18, n° 4, pp 1320-1340.

[10] G. Chauvet, D. Haziza (2012), Fully efficient estimation of coefficients of correlation in the presence of imputed data. Canadian Journal of Statistics, vol. 40, n° 1, pp 124-149.

[9] M. Chandesris, G. Chauvet, J.C. Deville (2011), Allocation optimale pour un plan à plusieurs degrés. Application à l’estimation de la fraude tarifaire grandes lignes à la SNCF. Journal de la SFdS, vol. 152, n° 4, pp. 47-59.

[8] G. Chauvet (2011), On variance estimation for the French Master Sample. Journal of Official Statistics, vol. 27, n° 4, pp. 651–668. [Présentation]

[7] G. Chauvet, J.C. Deville, D. Haziza (2011), On balanced random imputation in surveys. Biometrika, vol. 98, pp. 459-471.  [Présentation]

[6] G. Chauvet, D. Bonnery, J.C. Deville (2011), Optimal inclusion probabilities for balanced sampling. Journal of Statistical Planning and Inference, vol 141, pp. 984 - 994. [Présentation]

[5] F.J. Breidt, G. Chauvet  (2011), Improved variance estimation for balanced samples drawn via the Cube method. Journal of Statistical Planning and Inference, vol 141, pp. 479 - 487. [Présentation]

[4] D. Haziza, G. Chauvet, J.C. Deville (2010), A note on sampling and estimation in the presence of cut-off sampling. Australian and New Zealand Journal of Statistics, vol 52, pp. 303 - 319.

[3] G. Chauvet (2009), Stratified Balanced Sampling, Survey Methodology, vol 35, pp. 115 - 119.

[2] G. Chauvet, Y. Tillé (2007), Application of Fast SAS Macros for Balancing Samples to the Selection of Addresses, Case Studies in Business, Industry and Government Statistics, vol 2, pp. 173 - 182.

[1] G. Chauvet, Y. Tillé (2006), A fast algorithm of Balanced Sampling, Computational Statistics, vol 21, pp. 53 - 61.

Articles soumis ou en préparation

[33] P. Bessonneau, G. Brilhault, G. Chauvet, C. Garcia (201X). With-replacement bootstrap variance estimation for household surveys: principles, examples and implementation. In revision for Survey Methodology.

[34] G. Chauvet, M. Gerber (201X), Exponential inequalities for sampling designs. Submitted.

[35] V. Garès, G. Chauvet, D. Hajage (201X), Closed-form variance estimators for weighted and stratified dose-response function estimators using generalized propensity score. In revision for Biometrical Journal.

[36] M-A. Metten, G. Chauvet, N. Costet, J-F. Viel (201X), Inverse probability weighting to handle attrition in cohort studies: how far can it solve? Submitted.

[37] D. Hajage, G. Chauvet, Y. De Rycke, F. Tubach (201X), Variance estimation when weighting using the estimated propensity score to estimate a treatment effect on a binary outcome. Submitted.

[38] G. Chauvet, C. Goga (201X), Asymptotic efficiency of the calibration estimator in a high-dimensional data setting. Submitted.

[39] E. Anceaume, Y. Busnel, G. Chauvet, N. Rivetti (201X). Pivotal sampling in datastreams with estimation on sliding windows.

[40] G. Chauvet (201X), Bootstrap for multistage sampling and unequal probability sampling of primary sampling units. 

[41] G. Chauvet (201X), Simplified variance estimation for multistage sample surveys.

[42] G. Chauvet (201X), A note on the consistency of the Narain-Horvitz-Thompson estimator.

[43] G. Chauvet (201X), A cautionary note on the Hanurav-Vijayan sampling algorithm.