Juan Carlos Pardo-Fernández

Published Papers

ResearcherID - ORCID - MathSciNet

1. Lago, A.; de Uña-Álvarez, J.; Pardo-Fernández, J. C. (2024). A Kolmogorov-Smirnov-type test for the two-sample problem with left-truncated data. TEST, in press. [doi: 10.1007/s11749-024-00948-4]

2. Boente, G.; Pardo-Fernández, J. C. (2024). Robust tests for equality of regression curves based on characteristic functions. Statistics, 58, 892-917 . [doi: 10.1080/02331888.2024.2379018]

3. Jiménez-Gamero, M.D.; Pardo-Fernández, J. C. (2024). Nonparametric estimation of the shape functions and related asymptotic results. Statistical Papers, 65, 1575-1611. [doi: 10.1007/s00362-023-01456-7]

4. Fanjul-Hevia, A.; Pardo-Fernández, J. C.; Van Keilegom, I.; González-Manteiga, W. (2024). A test for comparing conditional ROC curves with multidimensional covariates. Journal of Applied Statistics, 51, 87-113. [doi: 10.1080/02664763.2022.2116409]

5. Fanjul-Hevia, A.; González-Manteiga, W.; Pardo-Fernández, J. C. (2021). A non-parametric test for comparing conditional ROC curves. Computational Statistics & Data Analysis, 157, 107146. [doi: 10.1016/j.csda.2020.107146]

6. Boente, G.; Pardo-Fernández, J. C. (2020). Testing for superiority between two variance functions. Statistics and Probability Letters, 156, Article 108612. [doi: 10.1016/j.spl.2019.108612]

7. Pardo-Fernández, J. C.; Jiménez-Gamero, M.D. (2019). A model specification test for the variance function in nonparametric regression. AStA Advances in Statistical Analysis, 103, 387-410. [doi: 10.1007/s10182-018-00336-y]

8. Martínez-Camblor, P.; Pardo-Fernández, J. C. (2019). The Youden index in the generalized receiver operating characteristic curve context. International Journal of Biostatistics, 15(1). [doi: 10.1515/ijb-2018-0060].

9. Martínez-Camblor, P.; Pardo-Fernández, J. C. (2019). Parametric estimates for the receiver operating characteristic curve generalization for non-monotone relationships. Statistical Methods in Medical Research, 28, 2032-2048. [doi: 10.1177/0962280217747009]

10. Jiménez-Otero, N.; de Uña-Álvarez, J.; Pardo-Fernández, J. C. (2019). Goodness-of-fit tests for disorder detection in NGS experiments. Biometrical Journal, 61, 424-441. [doi: 10.1002/bimj.201700284]

11. Escanciano, J. C.; Pardo-Fernández, J. C.; Van Keilegom, I. (2018). Asymptotic distribution-free tests for semiparametric regressions with dependent data. Annals of Statistics, 46, 1167-1196. [doi: 10.1214/17-AOS1581]

12. Martínez-Camblor, P.; Pardo-Fernández, J. C. (2018). Smooth time-dependent ROC curve estimators. Statistical Methods in Medical Research, 27, 651-674. [doi: 10.1177/0962280217740786]

13. Jiménez-Gamero, M. D.; Pardo-Fernández, J. C. (2017). Empirical characteristic function tests for GARCH innovation distribution using multipliers. Journal of Statistical Computation and Simulation, 87, 2069-2093. [doi: 10.1080/00949655.2017.1313254]

14. Escanciano, J.C.; Pardo-Fernández, J. C.; Van Keilegom, I. (2017). Semiparametric estimation of risk-return relationships. Journal of Business and Economic Statistics, 35, 40-52. [doi: 10.1080/07350015.2015.1052879]

15. Rodríguez, M.; Pena-Boquete, Y.; Pardo-Fernández, J. C. (2016). Revisiting environmental Kuznets curves through the energy price lens. Energy Policy, 95, 32-41. [doi:10.1016/j.enpol.2016.04.038]

16. Boente, G.; Pardo-Fernández, J. C. (2016). Robust testing for superiority between two regression curves. Computational Statistics & Data Analysis, 97, 151-168. [doi: 10.1016/j.csda.2015.12.002]

17. Pardo-Fernández, J. C.; Jiménez-Gamero, M. D.; El Ghouch, A. (2015). Tests for the equality of conditional variance functions in nonparametric regression. Electronic Journal of Statistics, 9, 1826-1851. [doi: 10.1214/15-EJS1058]

18. Pardo-Fernández, J. C.; Jiménez-Gamero, M. D.; El Ghouch, A. (2015). A nonparametric ANOVA-type test for regression curves based on characteristic functions. Scandinavian Journal of Statistics, 42, 197-213. [doi: 10.1111/sjos.12102]

19. Pardo-Fernández, J. C.; Rodríguez-Álvarez, M. X.; Van Keilegom, I. (2014). A review on ROC curves in the presence of covariates. REVSTAT Statistical Journal, 12, 21-41.

20. Heuchenne, C.; Pardo-Fernández, J. C. (2012). Testing for one-sided alternatives in nonparametric censored regression. TEST, 21, 498-518. [doi: 10.1007/s11749-011-0260-4]

21. González-Manteiga, W.; Pardo-Fernández, J. C.; Van Keilegom, I. (2011). ROC curves in nonparametric location-scale regression models. Scandinavian Journal of Statistics, 38, 169-184. [doi: 10.1111/j.1467-9469.2010.00693.x]

22. Dette, H.; Pardo-Fernández, J. C.; Van Keilegom, I. (2009). Goodness-of-fit tests for multiplicative models with dependent data. Scandinavian Journal of Statistics, 36, 782-799. [doi: 10.1111/j.1467-9469.2009.00648.x]

23. Neumeyer, N; Pardo-Fernández, J. C. (2009). A simple test for comparing regression curves versus one-sided alternatives. Journal of Statistical Planning and Inference, 139, 4006-4016. [doi: 10.1016/j.jspi.2009.05.005] NOTE: Two typos found in the paper. Here is the corrigendum.

24. Pardo-Fernández, J. C.; Van Keilegom, I.; González-Manteiga, W. (2007). Goodness-of-fit tests for parametric models in censored regression. Canadian Journal of Statistics, 35, 249-264. [doi: 10.1002/cjs.5550350204]

25. Pardo-Fernández, J. C.; Van Keilegom, I.; González-Manteiga, W. (2007). Testing for the equality of k regression curves. Statistica Sinica, 17, 1115-1137.

26. Pardo-Fernández, J. C. (2007). Comparison of error distributions in nonparametric regression. Statistics and Probability Letters, 77, 350-356. [doi: 10.1016/j.spl.2006.07.015]

27. Pardo-Fernández, J. C.; Van Keilegom, I. (2006). Comparison of regression curves with censored responses. Scandinavian Journal of Statistics, 33, 409-434. [doi: 10.1111/j.1467-9469.2006.00508.x]

28. Louzada-Neto, F.; Pardo-Fernández, J. C. (2001). The effect of reparametrization on accelerated lifetime tests. Journal of Applied Statistics, 28, 703-711. [doi: 1080/02664760120059237]

Editorial activity

Associate Editor for:

- Annals of the Institute of Statistical Mathematics
- Brazilian Journal of Probability and Statistics

Referee for the following scientific journals:

- Applied Stochastic Models in Business and Industry
- Annals of the Institute of Statistical Mathematics
- AStA - Advances in Statistical Analysis
- Australian & New Zealand Journal of Statistics
- Bernoulli
- Biometrical Journal
- Biometrics
- Biometrika
- Canadian Journal of Statistics
- Communications in Statistics
- Computational Statistics
- Computational Statistics and Data Analysis
- Econometrics and Statistics
- Electronic Journal of Statistics
- Journal of Biopharmaceutical Statistics
- Journal of Nonparametric Statistics
- Journal of Statistical Computation and Simulation
- Journal of Statistical Planning and Inference
- Journal of the American Statistical Association (JASA)
- Journal of the Korean Statistical Society
- Journal of the Royal Statistical Society - Series B
- Lifetime Data Analysis
- Latin American Journal of Probability and Mathematical Statistics
- Metrika
- Scandinavian Journal of Statistics
- Statistica Neerlandica
- Statistical Inference for Stochastic Processes
- Statistical Methods in Medical Research
- Statistics and Probability Letters
- TEST

PhD Students

• Arís Fanjul-Hevia: Nonparametric Methods for the Comparison of ROC Curves with Application to Biomedicine (co-supervised with Wenceslao González-Manteiga). Defended at the Universidade de Santiago de Compostela on February 19, 2021.

Short courses given at universities by invitation

• An introduction to ROC curves (on-line course at the StatCon 2020 On-line Workshop, organized by North-West University, South Africa. 4.5 hours. November-December 2020).

• Regression and multivariate analysis techniques with R (Universidad de Buenos Aires, Argentina. 48 hours. March 2019).

• Regression and multivariate analysis techniques with R (Universidad de Buenos Aires, Argentina. 40 hours. August 2017).

• Statistical techniques, regression and multivariate analysis (Universidade de Cabo Verde, Cabo Verde. 24 hours. April 2016).

• A review on goodness-of-fit techniques for distribution and regression problems (Universidad de Buenos Aires, Argentina. 3 hours. June 2015).

• An introduction to ROC curves (Universidad de Buenos Aires, Argentina. 12 hours. May 2015).

• Nonparametric methods for ROC curves (Universidad de Sevilla, Spain. 5.5 hours. November 2013).

• Recent advances in goodness-of-fit for distribution and regression problems (KU Leuven, Belgium. 3 hours. September 2012).

• Nonparametric methods for ROC curves (Université catholique de Louvain, Belgium. 8 hours. November 2010).

Contributions to international conferences as speaker (since 2014)

• Pardo-Fernández, J. C.; Martínez-Camblor, P: Semiparametric estimators of the ROC curve under the presence of covariates. Bernoulli-IMS 11th World Congress in Probability and Statistics (Bochum, Germany, August 2024).

• Pardo-Fernández, J. C.; Han, B.; Van Keilegom, I.: Conditional C-index for survival data with a cure fraction. 6th International Symposium in Nonparametric Statistics (Braga, Portugal, June 2024).

• Pardo-Fernández, J. C.; Boente, G.: Robust testing to compare regression curves. 6th International Workshop on Goodness-of-Fit and Change-Point Problems (Skukuza, South Africa, August 2023).

• Pardo-Fernández, J. C.; Jiménez-Gamero, G.: Estimating the shape functions. 34th European Meeting of Statisticians - EMS2023. (Warsaw, Poland, July 2023).

• Pardo-Fernández, J. C.; Boente, G.: Robust testing to compare regression curves. 14th International Conference of the ERCIM Working Group on Computational and Methodological Statistics - CMStatistics 2021. (London - virtual conference, 2021).

• Pardo-Fernández, J. C.; Boente, G.: Testing for superiority between two variance functions. 12th International Conference of the ERCIM Working Group on Computational and Methodological Statistics - CMStatistics 2019. (London, 2019).

• Pardo-Fernández, J. C.; Boente, G.: Testing for superiority between two variance functions. European Meeting of Statisticians - EMS2019. (Palermo, 2019).

• Pardo-Fernández, J. C.; Jiménez-Gamero, M. D.: A model specification test for the variance function in nonparametric regression. 11th International Conference of the ERCIM Working Group on Computational and Methodological Statistics - CMStatistics 2018. (Pisa, 2018).

• Pardo-Fernández, J. C.; Martínez-Camblor, P.: Estimation of time-dependent ROC curves based on smoothing techniques. Joint International Society for Clinical Biostatistics and Australian Statistical Conference 2018 - ISCB ASC 18 (Melbourne, 2018).

• Pardo-Fernández, J. C.; Escanciano, J.C.; Van Keilegom, I.: Asymptotic distribution-free tests for semiparametric regressions. 4th Conference of the International Society for Nonparametric Statistics (Salerno, 2018).

• Pardo-Fernández, J. C.; Martínez-Camblor, P.: Smooth time-dependent ROC curve estimators. 10th International Conference of the ERCIM Working Group on Computing & Statistics - ERCIM'17 (London, 2017).

• Pardo-Fernández, J. C.; Martínez-Camblor, P.: Smooth time-dependent ROC curve estimators. 22nd International Conference on Computational Statistics - COMPSTAT16 (Oviedo, 2016).

• Pardo-Fernández, J. C.; Escanciano, J.C.; Van Keilegom, I.: Asymptotic distribution-free tests for semiparametric regressions. World Congress in Probability and Statistics (Toronto, 2016).

• Pardo-Fernández, J. C.; Boente, G.: Robust testing for superiority between two regression curves. 3rd Conference of the International Society for Nonparametric Statistics (Avignon, 2016).

• Pardo-Fernández, J. C.; Boente, G.: Robust testing for superiority between two regression curves. 8th International Conference of the ERCIM Working Group on Computing & Statistics - ERCIM'15 (London, 2015).

• Pardo-Fernández, J. C.; Escanciano, J.C.; Van Keilegom, I.: Asymptotic distribution-free tests for semiparametric regressions. 2nd Workshop on Goodness-of-Fit and Change-Point Problems (Athens, 2015).

• Pardo-Fernández, J. C.; Jiménez-Gamero, M. D.; El Ghouch, A.: Tests for the equality of conditional variance functions in nonparametric regression. 60th World Statistics Congress - ISI2015 (Rio de Janeiro, 2015).

• Pardo-Fernández, J. C.; Molanes-López, E. M.; Letón, E.: Nonparametric estimation of covariate-specific summary indices of ROC curves through regression models. 35th Annual Conference of the International Society for Clinical Biostatistics (Vienna, 2014).

• Pardo-Fernández, J. C.; Molanes-López, E. M.; Letón, E.: Nonparametric inference for covariate-specific summary indices of ROC curves. 2nd Conference of the International Society of Non Parametric Statistics (Cádiz, 2014).

Seminars (since 2014)

• Estimating the shape functions. Workshop Advance in Statistical Inference - SiDOR Workshop 2023, Universidade de Vigo, July 19, 2023.

• Robust tests for the comparison of regression curves. KULeuven, Belgium. November 3, 2022.

• Robust tests for the comparison of regression curves. Universidade do Minho, Portugal. October 27, 2022 (on-line seminar).

• Generalizations of the ROC curve for non-monotone relationships. KULeuven, Belgium. September 24, 2020 (on-line seminar).

• Asymptotic distribution-free tests for semiparametric regressions. Departamento de Estadística e IO, Universidad Complutense de Madrid, Madrid. December 5, 2018.

• A model specification test for the variance function in nonparametric regression. Workshop Advance in Statistical Inference - SiDOR Workshop 2018, Universidade de Vigo, July 19, 2018.

• Asymptotic distribution-free tests for semiparametric regression models. Basque Center for Applied Mathematics (BCAM), Bilbao. November 13, 2017.

• Asymptotic distribution-free tests for semiparametric regression models. Instituto de Cálculo, Universidad de Buenos Aires. July 31, 2017.

• Nonparametric estimation of ROC curves and associated summary indices with covariates. Universidade de Cabo Verde, Praia. April 19, 2016.

• Robust testing for superiority between two regression curves. Departamento de Estadística e IO, Universidad de Sevilla. January 19, 2016.

• Robust testing for superiority between two regression curves. SiDOR Workshop 2015, Universidade de Vigo. November 20, 2015.

• Asymptotic distribution-free tests for semiparametric regressions. Departamento de Estatística e IO, Universidade de Vigo. July 3, 2015.

• On the use of the characteristic function to compare regression models. Instituto de Cálculo, Universidad de Buenos Aires. June 15, 2015.

• Nonparametric estimation of covariate-specific ROC curves and associated summary indices. Universitat Autònoma de Barcelona. April 4, 2014.

updated October 2024