Statistical Modelling and Inference

You will find below our recent publications in statistical modelling and inference.

Journal Articles

1. Lambert, Philippe. Nonparametric density estimation and risk quantification from tabulated sample moments. In: Insurance: Mathematics and Economics, Vol. 108, p. 177-189 (2023). doi:10.1016/j.insmatheco.2022.12.004.

2. Plassier, Vincent; Portier, François; Segers, Johan. Risk bounds when learning infinitely many response functions by ordinary linear regression. In: Annales de l'Institut Henri Poincare. B, Probability and Statistics, Vol. 59, no.1, p. 53-78 (2023). doi:10.1214/22-AIHP1259.

3. Lhaut, Stéphane; Sabourin, Anne; Segers, Johan. Uniform concentration bounds for frequencies of rare events. In: Statistics & Probability Letters, Vol. 189, p. 109610 (2022). doi:10.1016/j.spl.2022.109610.

4. Orsi, Renzo; Mouchart, Michel; Wunsch, Guillaume. Causality in Econometric Modeling : From Theory to Structural Causal Modeling. In: Journal of Econometrics and Statistics, Vol. 2, no.1, p. 61-90 (2022).

5. Pircalabelu, Eugen; Claeskens, Gerda. Linear manifold modeling and graph estimation based on multivariate functional data with different coarseness scales. In: Journal of Computational and Graphical Statistics, (2022). doi:10.1080/10618600.2022.2108818 (Accepté/Sous presse).

6. Kyriakopoulou, Dimitra; Hafner, Christian. Reconciling negative return skewness with positive time-varying risk premia. In: Econometric Reviews, Vol. 41, no.8, p. 877-894 (2022). doi:10.1080/07474938.2022.2072323.

7. Hafner, Christian; Majeri, Sabrine. Analysis of cryptocurrency connectedness based on network to transaction volume ratios. In: Digital Finance, Vol. 4, p. 187-216 (2022). doi:10.1007/s42521-022-00054-w.

8. Bocart, Fabian Y.R.P.; Hafner, Christian; Kasperskaya, Yulia; Sagarra, Marti. Investing in superheroes? Comic art as a new alternative investment. In: The Journal of Alternative Investments, (2023). doi:10.3905/jai.2022.1.174 (Accepté/Sous presse).

9. Simar, Léopold; Wilson, Paul W. Nonparametric, Stochastic Frontier Models with Multiple Inputs and Outputs. In: Journal of Business and Economic Statistics, (2022). doi:10.1080/07350015.2022.2110882 (Accepté/Sous presse).

10. Hohage, Thorsten; Maréchal, Pierre; Simar, Léopold; Vanhems, Anne. A mollifier approach to the deconvolution of probability densities. In: Econometric Theory, (2022). doi:10.1017/S0266466622000457 (Accepté/Sous presse).

11. Nguyen, Bao Hoang; Simar, Léopold; Zelenyuk, Valentin. Data sharpening for improving central limit theorem approximations for data envelopment analysis-type efficiency estimators. In: European Journal of Operational Research, Vol. 303, no.3, p. 1469-1480 (2022). doi:10.1016/j.ejor.2022.03.038.

12. Hafner, Christian; Herwartz, Helmut. Dynamic score driven independent component analysis. In: Journal of Business and Economic Statistics, (2022). doi:10.1080/07350015.2021.2013244 (Accepté/Sous presse).

13. Hafner, Christian; Wang, Linqi. Dynamic portfolio selection with sector-specific regularization. In: Econometrics and Statistics, (2022). doi:10.1016/j.ecosta.2022.01.001 (Accepté/Sous presse).

14. Hafner, Christian; Wang, Linqi. A dynamic conditional score model for the log correlation matrix. In: Journal of Econometrics, (2022). doi:10.1016/j.jeconom.2021.09.004 (Accepté/Sous presse).

15. Mathieu, Sophie; Lefèvre, Laure; von Sachs, Rainer; Delouille, Véronique; Ritter, Christian; Clette, Frédéric. Nonparametric monitoring of sunspot number observations. In: Journal of Quality Technology, (2022). doi:10.1080/00224065.2022.2041376 (Accepté/Sous presse).

16. Wunsch, Guillaume; Russo, Federica; Mouchart, Michel; Orsi, Renzo. Time and causality in the social sciences. In: Time & Society, Vol. 31, no. 2, p. 177-204 (2022). doi:10.1177/0961463X211029488.

17. Mordant, Gilles; Segers, Johan. Measuring dependence between random vectors via optimal transport. In: Journal of Multivariate Analysis, Vol. 189, p. 104912 (2022). doi:10.1016/j.jmva.2021.104912.

18. Haedo, Christian; Mouchart, Michel. Two-mode clustering through profiles of regions and sectors. In: Empirical Economics, Vol. 63, p. 1971-1996 (2022). doi:10.1007/s00181-022-02201-z.

19. Chau, Joris; von Sachs, Rainer. Time-varying spectral matrix estimation via intrinsic wavelet regression for surfaces of Hermitian positive definite matrices. In: Computational Statistics & Data Analysis, Vol. 174, p. 107477 (2022). doi:10.1016/j.csda.2022.107477.

20. Yang, Bingduo; Cai, Zongwu; Hafner, Christian; Liu, Guannan. Time-Varying Mixture Copula Models with Copula Selection. In: Statistica Sinica, Vol. 32, p. 1049-1077 (2022).

21. Pircalabelu, Eugen; Artemiou, Andreas. High-dimensional Sufficient Dimension Reduction through principal projections. In: Electronic Journal of Statistics, Vol. 16, no. 1, p. 1804-1830 (2022).

22. Beretta, Alessandro; Heuchenne, Cédric; Restaino, Marialuisa. Competing risks proportional-hazards cure model and generalized extreme value regression: an application to bank failures and acquisitions in the United States. In: Journal of Applied Statistics, Vol. 49, no. 16, p. 4162-4180 (2022). doi:10.1080/02664763.2021.1973386.

23. Heuchenne, Cédric; Jacquemain, Alexandre. Inference for monotone single-index conditional means: a Lorenz regression approach. In: Computational Statistics & Data Analysis, Vol. 167, p. 107347 (2022). doi:10.1016/j.csda.2021.107347.

24. El Mehdi, Rachida; Hafner, Christian. Panel stochastic frontier analysis with dependent error terms. In: International Econometric Review, Vol. 13, no.2, p. 24-40 (2021). doi:10.33818/ier.1033722.

25. Yang, Bingduo; Hafner, Christian; Liu, Guannan; Long, Wei. Semiparametric estimation and variable selection for single-index copula models. In: Journal of Applied Econometrics, Vol. 36, no.7, p. 962-988 (2021). doi:10.1002/jae.2812.

26. Fall, François Seck; Tchuigoua, Hubert Tchakoute; Vanhems, Anne; Simar, Léopold. Gender effect on microfinance social efficiency: A robust nonparametric approach. In: European Journal of Operational Research, Vol. 295, no. 2, p. 744-757 (2021). doi:10.1016/j.ejor.2021.03.020.

27. Asenova, Stefka Kirilova; Mazo, Gildas; Segers, Johan. Inference on extremal dependence in the domain of attraction of a structured Hüsler–Reiss distribution motivated by a Markov tree with latent variables. In: Extremes, Vol. 24, p. 461-500 (2021). doi:10.1007/s10687-021-00407-5.

28. Barigozzi, Matteo; Hallin, Marc; Soccorsi, Stefano; von Sachs, Rainer. Time-Varying General Dynamic Factor Models and the Measurement of Financial Connectedness. In: Journal of Econometrics, Vol. 222, no. 1, part B, p. 324-343 (2021). doi:10.1016/j.jeconom.2020.07.004.

29. Mastromarco, Camilla; Simar, Léopold; Zelenyuk, Valentin. Predicting recessions with a frontier measure of output gap: an application to Italian economy. In: Empirical Economics, Vol. 60, p. 2701–2740 (2021). doi:10.1007/s00181-021-02029-z.

30. Daraio, Cinzia; Simar, Léopold; Wilson, Paul W. Quality as a Latent Heterogeneity Factor in the Efficiency of Universities. In: Economic Modelling, Vol. 99, no. June 2021, p. 105485 (2021). doi:10.1016/j.econmod.2021.03.004.

31. Mastromarco, Camilla; Simar, Léopold. Latent heterogeneity to evaluate the effect of human capital on world technology frontier. In: Journal of Productivity Analysis, Vol. 55, p. 71–89 (2021). doi:10.1007/s11123-021-00597-x.

32. Tran, Phuong Hanh; Heuchenne, Cédric; Nguyen, Huu Du; Marie, Hélène. Monitoring Coefficient of Variation using One-Sided Run Rules control charts in the presence of Measurement Errors. In: Journal of Applied Statistics, Vol. 48, no.12, p. 2178-2204 (2021). doi:10.1080/02664763.2020.1787356.

33. Nguyen, Quoc-Thông; Giner-Bosch, Vicent; Tran, Kim Duc; Heuchenne, Cédric; Tran, Kim Phuc. One-sided variable sampling interval EWMA control charts for monitoring the multivariate coefficient of variation in the presence of measurement errors. In: International Journal of Advanced Manufacturing Technology, , no.5-6, p. 19174938 (2021).

34. Bazgour, Tarik; Heuchenne, Cédric; Hübner, Georges; Sougné, Danielle. How do volatility regimes affect the pricing of quality and liquidity in the stock market?. In: Studies in Nonlinear Dynamics and Econometrics, Vol. 25, no.1, p. 20180127 (2021). doi:10.1515/snde-2018-0127.

35. Tran, Phuong Hanh; Heuchenne, Cédric. Monitoring the coefficient of variation using variable sampling interval CUSUM control charts. In: Journal of Statistical Computation and Simulation, Vol. 91, no.3, p. 501-521 (2021). doi:10.1080/00949655.2020.1819278.

36. Pircalabelu, Eugen; Artemiou, Andreas. Graph informed sliced inverse regression. In: Computational Statistics & Data Analysis, Vol. 164, p. 107302 (2021). doi:10.1016/j.csda.2021.107302.

37. Chau, Joris; von Sachs, Rainer. Intrinsic wavelet regression for curves of Hermitian positive definite matrices. In: Journal of the American Statistical Association, Vol. 116, no.534, p. 819-832 (2021). doi:10.1080/01621459.2019.1700129.

38. Einmahl, John H. J.; Segers, Johan. Empirical tail copulas for functional data. In: Annals of Statistics, Vol. 49, no. 5, p. 2672-2696 (2021). doi:10.1214/21-AOS2050.

39. Beretta, Alessandro; Heuchenne, Cédric. penPHcure: Variable Selection in Proportional Hazards Cure Model with Time-Varying Covariates. In: The R Journal, Vol. 31, no.1, p. 116-129 (2021).

40. Mordant, Gilles; Segers, Johan. Maxima and near-maxima of a Gaussian random assignment field. In: Statistics & Probability Letters, Vol. 173, no. June 2021, p. 109087 (2021). doi:10.1016/j.spl.2021.109087.

41. Leluc, Rémi; Portier, François; Segers, Johan. Control variate selection for Monte Carlo integration. In: Statistics and Computing, Vol. 31, no. 50 (2021). doi:10.1007/s11222-021-10011-z.

42. Gressani, Oswaldo; Lambert, Philippe. Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines. In: Computational Statistics & Data Analysis, Vol. 154, p. 107088 (2021). doi:10.1016/j.csda.2020.107088.

43. Lambert, Philippe. Fast Bayesian inference using Laplace approximations in nonparametric double additive location-scale models with right- and interval-censored data. In: Computational Statistics & Data Analysis, Vol. 161, p. 107250 (2021). doi:10.1016/j.csda.2021.107250.

44. Kneip, Alois; Simar, Léopold; Wilson, Paul W. Inference in Dynamic, Nonparametric Models of Production: Central Limit Theorems for Malmquist Indices. In: Econometric Theory, Vol. 37, no.3, p. 537-572 (2021). doi:10.1017/s0266466620000237.

45. Bibal, Adrien; Marion, Rebecca; von Sachs, Rainer; Frénay, Benoît. BIOT: Explaining Multidimensional Nonlinear MDS Embeddings using the Best Interpretable Orthogonal Transformation. In: Neurocomputing, Vol. 453, p. 109-118 (2021). doi:10.1016/j.neucom.2021.04.088.

46. Hallin, Marc; Mordant, Gilles; Segers, Johan. Multivariate Goodness-of-Fit Tests Based on Wasserstein Distance. In: Electronic Journal of Statistics, Vol. 15, no. 1, p. 1328-1371 (2021). doi:10.1214/21-EJS1816.

47. Hafner, Christian; Kyriakopoulou, Dimitra. Exponential-Type GARCH Models With Linear-in-Variance Risk Premium. In: Journal of Business & Economic Statistics, Vol. 39, no. 2, p. 589-603 (2021). doi:10.1080/07350015.2019.1691564.

48. Daouia, Abdelaati; Florens, Jean-Pierre; Simar, Léopold. Robustified expected maximum production frontiers. In: Econometric Theory, Vol. 37, no. 2, p. 346-387 (2021). doi:10.1017/S0266466620000171.

Book Chapters

1. Jacquemain, Alexandre; Heuchenne, Cédric; Pircalabelu, Eugen. A lasso-type estimation for the Lorenz regression. In: Proceedings of the 22nd European Young Statistician Meeting , Panteion University of Social and Political Sciences: Athens, Greece, 2021, p. 41-45. 978-960-7943-22-4. xxx xxx.

2. Bücher, Axel; El Ghouch, Anouar; Van Keilegom, Ingrid. Single-Index Quantile Regression Models for Censored Data. In: Advances in Contemporary Statistics and Econometrics , Springer, 2021, p. 177-196. 978-3-030-73248-6. xxx xxx. doi:10.1007/978-3-030-73249-3_10.

3. Kiriliouk, Anna; Segers, Johan; Tsukahara, Hideatsu. Resampling Procedures with Empirical Beta Copulas. In: Pioneering Works on Extreme Value Theory : SpringerBriefs in Statistics (SpringerBriefs in Statistics; xxx), Springer: (Singapore) Singapore, 2021, p. 27-53. 9789811607677. xxx xxx. doi:10.1007/978-981-16-0768-4_2.