Guillaume CHAUVET

Guillaume CHAUVET

Attaché principal de l'Insee - Enseignant-chercheur en statistique à l'Ensai

ENSAI - Campus de Ker-Lann
Rue Blaise Pascal - BP 37203
35712 BRUZ cedex

Tél. : +33 (0)2 99 05 33 23
Fax : +33 (0)2 99 05 32 05
  • Education
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I am a member of IRMAR (UMR CNRS 6625)

I obtained my PhD in Statistics from the University of Rennes 2

Title : Méthodes de Bootstrap en population finie (manuscript)

Defended on 2007, December the 14th

I obtained my Habilitation à Diriger des Recherches from the University of Rennes 1

Title : Some contributions to Sampling and Estimation in Surveys (manuscript and talk)

Defended on 2014, November the 28th


Published or accepted

[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 SurveyStatistics 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, vol n° 128, pp. 1-16.

[23] H. Juillard, G. Chauvet (201X), Variance estimation under monotone non-response for a panel survey. Survey Methodology, vol n° 44(2), pp. 269-289.

[22] G. Chauvet, C. Goga (2018), Linearization versus bootstrap for variance estimation of the change between Gini indexes. Survey Methodology, vol. 44(1), pp. 17-42.

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

[20] 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.

[19] H. Juillard, G. Chauvet, A. Ruiz-Gazen (2016), 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. Accepted in Statistica Sinica.

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

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

[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 n°42, pp. 650-669.

[13] G. Chauvet, G. Tandeau de Marsac (2014), Estimation Methods on Multiple Sampling Frames in Two-Stage Sampling Designs. Survey Methodology, vol n°40, pp 335-346. [Talk]

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

[11] G. Chauvet (201X), 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.

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

[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.

[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.

[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.


Submitted or Work in progress

[27] G. Chauvet, R. Le Gleut (201X), Asymptotic properties of pivotal sampling with application to spatial sampling. In revision for Scandinavian Journal of Statistics. [Présentation]

[28] B. Gelein, G. Chauvet (201X). Preserving the distribution function in surveys in case of imputation for zero inflated data. In revision for Journal of Statistical Planning and Inference.

[29] 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.

[30] G. Chauvet, A.A. Vallée (201X), Consistency of estimators and variance estimators in two-stage sampling. Submitted.

[31] G. Chauvet (201X). Large sample properties of the Midzuno sampling scheme. Submitted.

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

[33] G. Chauvet, C. Goga (201X), Properties of the calibration estimator with a very large number of auxiliary variables.

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

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

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

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


Asymptotic results

Balanced sampling, cube method

Imputation methods

Resampling methods

Reweighting methods

Variance estimation