Articles publiés et acceptés dans des revues avec comité de lecture/Accepted and published articles

• Goga, C. and Ruiz-Gazen, A. (2023). Comments on “Jean-Claude Deville’s contributions to survey theory and official statistics”. Jean-Claude Deville : Mathematics lover, high-flying researcher, and visionary, Survey Methodology/Techniques d’enquêtes, 49, 321-337.
• Medous, E., Goga, C., Ruiz-Gazen, A., Beaumont, J.-F., Dessertaine, A. and Puech, P. (2023). QR Prediction for Statistical Data Integration, Survey Methodology/Techniques d'enquêtes, 49, 385-410.
• Goga, C. (2023). Book review : Sampling : Design and Analysis, Third Edition by Sharon L. Lohr”, The Survey Statistician, 88, 94–95.
• Medous, E., Goga, C., Ruiz-Gazen, A., Beaumont, J.-F., Dessertaine, A. and Puech, P. (2023). Many-to-one indirect sampling with application to the French postal traffic estimation, Annals of Applied Statistics, 17 (1), 838-859.
• Dagdoug, M., Goga, C. and Haziza, D. (2023). Model-assisted estimation in a high-dimensional settings for survey data, Journal of Applied Statistics, Special Issue "Statistical Approaches for Big Data and Machine Learning",  50(3),  761-785 (version préliminaire sur arXiv).
• Dagdoug, M., Goga, C. and Haziza, D. (2023). Model-assisted estimation through random forests in finite population sampling, Journal of the American Statistical Association, 118 (542), 1234-1251 (version préliminaire sur arXiv).
• Dagdoug, M., Goga, C. and Haziza, D. (2023). Imputation procedures in surveys using nonparametric and machine learning methods: an empirical comparison, Journal of Survey Statistics and Methodology, 11(1), 141-188 (version préliminaire sur arXiv).
• Chauvet, G. and Goga, C. (2022). Asymptotic efficiency of the calibration estimator in a high-dimensional setting, Journal of Statistical Planning and Inference, 217, 177-187.
• Spychala, C., Armand, J., Dombry, C. and Goga, C. (2021). Multivariate Statistical Analysis for Exploring Road Crash Related Factors in the Franche-Comté region of France, Communications in Statistics – Case Studies and Data Analysis, 7, 442–474 (version préliminaire sur Hal).
• Cardot, H., De Moliner, A. and Goga, C. (2020). Robust estimation of the total electricity load curve by sampling in a finite population, Journal of Survey Statistics and Methodology, 8, 453-482 (version préliminaire sur arXiv).
• Goga, C. and Ruiz-Gazen, A. (2019), “Improving the estimation of the odds ratio in sampling surveys using auxiliary information”. Annales de l’I.S.U.P., 63, 143-155.
• Cardot, H., De Moliner, A. and Goga, C. (2019). Estimation of total electricity consumption curves by sampling in a finite population when some trajectories are partially unobserved, Canadian Journal of Statistics (Numéro spécial dédié au programme CANSSI),  47, 65-89.
• De Moliner, A. and Goga, C. (2018). Sample-based estimation of mean electricity consumption curves for small domains, Survey Methodology/Techniques d'enquêtes (numéro spécial dédié au 9ème Colloque Francophone sur les Sondages), 44, 2, 193-214.
  
• Chauvet, G. and Goga, C. (2018). Linearisation versus bootstrap for variance estimation of the change between Gini indexes, Survey Methodology/Techniques d'enquêtes, 44, 1, 17-42. 
• Goga, C. (2018). A brief overview of survey sampling techniques with R, Romanian Statistical Review, 1, 83-94.
• Goga, C. et Ardilly, P. (2017). Présentation du Challenge Graines de Sondeur,  Enseignement de la Statistique, vol. 8, 2, 103-111.
• Cardot, H., Goga, C. and Shehzad, M.-A. (2017). Calibration and Partial Calibration on Principal Components when the Number of Auxiliary Variables is Large. Statistica Sinica, 27, 243-260.
• De Moliner, A., Goga, C. and Cardot, H. (2016). Estimation of total electricity consumption curves of small areas by sampling in a finite population. Compstat 2016, Eds Colubi, A., Blanco, A. and Gatu, C., 49-57.
• Cardot, H., De Moliner, A. and Goga, C. (2015). Estimating with kernel smoothers the mean of functional data in a finite population setting. A note on variance estimation of partially observed trajectories, Statistics and Probability Letters, 99, 156-166.
• Lardin-Puech, P., Cardot, H.  and Goga, C. (2014). Analysing large datasets of functional data: a survey sampling point of view, Journal de la Société Française de Statistique, 155(4), 70-94.
  
• Goga, C. and Shehzad, M.-A. (2014). A note on partially penalized calibration, Pakistan Journal of Statistics, 30(4), 429-438.
  
• Cardot, H., Goga, C. and Lardin, P. (2014). Variance estimation and asymptotic confidence bands for the mean estimator of sampled functional data with high entropy unequal probability sampling designs, Scandinavian Journal of Statistics, 41, 516-534.
  
• Goga, C. and Ruiz-Gazen, A. (2014). Efficient estimation of nonlinear finite population parameters using nonparametrics,  Journal of the Royal Statistical Society, Series B, 76, 113-140.
• Cardot, H., Dessertaine, A., Goga, C., Josserand, E. et Lardin, P. (2013). Comparaison de différents plans de sondage et construction de bandes de confiance pour l’estimation de la moyenne de données fonctionnelles : une illustration sur la consommation électrique, Survey Methodology, 39, 283-301.
• Cardot, H., Goga, C. and Lardin, P. (2013). Uniform convergence and asymptotic confidence bands for model-assisted estimators of the mean of sampled functional data, Electronic Journal of Statistics, 7, 562-596.
• Chaouch, M. and Goga, C. (2012). Using complex surveys to estimate the L1-median of a functional variable: application to electricity load curves , The International Statistical Review, Special Issue On Energy, 80, 40-59.
• Chaouch, M. and Goga, C. (2010). Design-Based Estimation for Geometric Quantiles with Application to Outlier Detection. Computational Statistics and Data Analysis, 54, 2214-2229.
• Cardot, H., Chaouch, M., Goga, C. and  Labruère, C. (2010). Properties of design-based functional principal components analysis. Journal of Statistical and Planning Inference, 140, 75-91.
• Goga, C., Deville, J.C. and Ruiz-Gazen, A. (2009). Use of functionals in linearization and composite estimation with application to two-sample survey data. Biometrika, 96, 691-709. 
• Goga, C. (2005). Réduction de la variance dans les sondages en présence d'information auxiliaire : une approche nonparamétrique par splines de régression.   The Canadian Journal of Statistics/Revue Canadienne de Statistique, 33, 2, pp. 1-18.
• Goga, C. (2004). Estimation de l'évolution d'un total en présence d'information auxiliaire: une approche par splines de régression. Comptes Rendus de l'Académie des Sciences, série Mathématiques, Vol. 339, 441-444.
• Goga, C. (1999). O generalizare a modelului statistic al lui Franklin (in Romanian). Mathematical Reports, Vol 1(51), 211-226.



Chapitres de livres/Book Chapters

• Goga, C. (2021). B-spline estimation in a survey sampling framework, In Daouia, A. and Ruiz-Gazen, A., editors, Advances in Contemporary Statistics and Econometrics, Festschrift in Honor of Christine Thomas-Agnan, Springer, 79–99.
• Goga, C. and Ruiz-Gazen, A. (2017). “Statistiques sur les données, exhaustivité et échantillonnage” in Big data à découvert, Mokrane Bouzeghoub et Rémy Mosseri (eds), chez CNRS éditions Paris, pp. 140-142.
• Cardot, H., Chaouch, M., Goga, C. and Labruère, C. (2008). Functional Principal Components Analysis with Survey Data. In "Functional and Operatorial Statistics", Sophie Dabo-Niang and Frédéric Férraty (eds.), Springer-Verlag Heidelberg. 
• Chauvet, G., Goga, C. et Ruiz-Gazen, A. (2008). Estimation de variance en présence de deux échantillons : linéarisation et bootstrap. In "Méthodes de sondages." Guibert, P., Haziza, D., Ruiz-Gazen, A. and Tillé, Y. (eds.), Dunod, Sciences Sup, Paris 2008, pp. 369-374.
• Goga, C., Deville, J.C. and Ruiz-Gazen, A. (2006). Linéarisation par la fonction d'influence pour des données issues de deux échantillons. In "Méthodes d'enquêtes et sondages. Pratiques européenne et nord-américaine." Pierre Lavallée and Louis-Paul Rivest (eds.), Dunod, Sciences Sup, Paris 2006, pp. 382-388.
• Aragon, Y, Goga, C. and Ruiz-Gazen, A. (2006). Estimation non-paramétrique de quantiles en présence d'information auxiliaire. In "Méthodes d'enquêtes et sondages. Pratiques européenne et nord-américaine." Pierre Lavallée and Louis-Paul Rivest (eds.), Dunod, Sciences Sup, Paris 2006, pp. 377-382.
• Deville, J.C., Goga, C. (2004). Estimation par régression par polynômes locaux dans des enquêtes sur plusieurs échantillons. In "Echantillonnage et méthodes d'enquêtes", Pascal Ardilly (eds.), Dunod,  Sciences Sup, Paris 2004, pp. 156-162.
• Deville, J.C, Goga, C. (2004). Les enquêtes répétées : une synthèse et quelques nouveautés.  In "Echantillonnage et méthodes d'enquêtes", Pascal Ardilly (eds.), Dunod, Sciences Sup, Paris 2004, pp. 148-156.

Proceedings 

• Goga, C. (2013). "Using complex surveys to estimate the L1-median of a functional variable: Application to electricity load curves", Proceedings 59th ISI World Statistics Congress, 25-30 August 2013, Hong Kong (Session STS032), 1715-1720.
  


• Goga, C. and Ruiz-Gazen, A. (2011). "Nonparametrics for Complex Parameters Estimation in Finite Population. Application to the Estimation of the Gini Index with Survey Data''.  Int. Statistical Inst., Proceedings of the 58th ISI World Statistics Congress - Dublin 2011 (Session CPS002), 3853-3858.


• Goga, C., Shehzad, M. A. and Vanheuverzwyn, A. (2011). "Principal component regression with survey data. Application on the French Media Audiance''. Int. Statistical Inst., Proceedings of the 58th ISI World Statistics Congress - Dublin 2011 (Session CPS002), 3847-3852.

• Ruiz-Gazen, A., Goga, C. and Deville, J.C. (2008). "Composite estimation in a two-sample context''. Proceedings of the Survey Methods Section from the 2008 SSC Annual Meetings.