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Se han encontrado 14 registros.

1) Saavedra-Nieves, P. (To appear). Nonparametric estimation of highest density regions for COVID-19 Journal of Nonparametric Statistics Google Scholar

2) Saavedra-Nieves, P.; Crujeiras, R.M.; Vieira-Lanero, R.; Caballero, P. and Cobo Gradín, F. (2021). Assessing the effect of recovery programs for salmon (Salmo salar Linnaeus, 1758) at its Southern limit in Europe: application of segmented regression models to long-term data from the Ulla Limnetica Vol. 40 Google Scholar

3) Crujeiras, R.M. and Saavedra-Nieves, P. (2021). Comments on: Recent advances in directional statistics TEST, pp. 1-4 Google Scholar

4) Saavedra Nieves, A. and Saavedra-Nieves, P. (2021). IndexNumber: An R Package for Measuring the Evolution of Magnitudes R Journal Vol. 13, pp. 253-275 Google Scholar

5) Saavedra-Nieves, P. and Crujeiras, R.M. (2021). Nonparametric estimation of directional highest density regions Advances in Data Analysis and Classification Vol. DOI: 10.1007/s11634-021-00457-4 Google Scholar

6) Saavedra-Nieves, P. and Saavedra Nieves, A. (2021). On gender perspective in Statistics and Operations Research BEIO Vol. 37(2), pp. 148-164 Google Scholar

7) Rodríguez-Casal, A. and Saavedra-Nieves, P. (2021). Spatial distribution of invasive species: an extent of ocurrence approach TEST Google Scholar

8) Saavedra Nieves, A. and Saavedra-Nieves, P. (2020). On systems of quotas from bankruptcy perspective: the sampling estimation of the random arrival rule European Journal of Operational Research Vol. 285, pp. 655-669 Google Scholar

9) Rodríguez-Casal, A. and Saavedra-Nieves, P. (2020). Estimación non paramétrica de rexións de elevada densidade do COVID-19 Díxitos Vol. Outubro 2020, pp. 12-13 Google Scholar

10) Almomani, A.; Saavedra-Nieves, P. and Sánchez-Vila, E, (2017). Ensembles of Decision Trees for Recommending Touristic Items. In Ferrández Vicente J., Álvarez-Sánchez J. et al., editors, Biomedical Applications Based on Natural and Artificial Computing. IWINAC 2017 In: (pp. 510-519). Springer, Cham, Lecture Notes in Computer Science Google Scholar

11) Saavedra-Nieves, P.; Barreiro, P.; Durán, R.; Almomani, A.; Crujeiras, R.M.; Loureiro, M. and Sánchez-Vila, E, (2017). Sistemas de recomendación: machine learning vs. aproximacións teóricas Díxitos Vol. Marzo 2017, pp. 10 Google Scholar

12) Rodríguez-Casal, A. and Saavedra-Nieves, P. (2016). A fully data-driven method for estimating the shape of a point cloud ESAIM: Probability and Statistics Vol. 20, pp. 332-348 Google Scholar

13) Saavedra-Nieves, P.; González-Manteiga, W. and Rodríguez-Casal, A. (2015). A comparative simulation study of data-driven methods for estimating density level sets Journal of Statistical Computation and Simulation Vol. 86, pp. 236-251 Google Scholar

14) Saavedra-Nieves, P.; González-Manteiga, W. and Rodríguez-Casal, A. (2014). Level Set Estimation. In Akritas, M.G. et al., editors, Topics in Nonparametric Statistics: Proceedings of the First Conference of the International Society for Nonparametric Statistics Vol. 74, pp. 299-307. Springer Google Scholar