Ficha personal


PAULA, SAAVEDRA NIEVES
Teléfono: 881812283
Extensión: 12283; 13189
Correo electrónico: Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo.
Dirección: . CP: - (Campus Vida)
Página personal: http://webspersoais.usc.es/persoais/paula.saavedra
PUBLICACIONES

Se han encontrado 24 registros.

1) Almomani, A.; Saavedra-Nieves, P.; Barreiro, P.; Durán, R.; Crujeiras, R.M.; Loureiro, M. and Sánchez-Vila, E, (To appear). Application of choice models in Tourism Recommender Systems Expert Systems Google Scholar

2) Marey Pérez, Manuel F.; Fuentes-Santos, I.; Saavedra-Nieves, P. and González-Manteiga, W. (To appear). Nonparametric comparative analysis of the spatiotemporal pattern of human caused and natural wildfires in Galicia International Journal of Wildland Fire Google Scholar

3) Varela-Estevez, R.; Castineiras-Tourino, M.; Saavedra-Nieves, P.; Vázquez-Quiñoy, C. and Estany-Gestal, A. (2023). Ansiedad y depresión en matronas del Área de Santiago de Compostela durante la pandemia por la COVID-19 Matronas Profesión Vol. 24(1), pp. 4 Google Scholar

4) Vázquez-Mera, S.; Martelo-Vidal, L.; Miguéns-Suárez, P.; Saavedra-Nieves, P.; Arias, P.; González-Fernández. C.; Mosteiro-Añón, M.; Corbacho-Abelaira, M. D.; Blanco-Aparicio, M.; Méndez-Brea, P.; Salgado, F.J.; Nieto-Fontarigo, J.J. and González-Barcala, F.J. (2023). Serum exosome inflamma-miRs are surrogate biomarkers for asthma phenotype and severity Allergy: European Journal of Allergy and Clinical Immunology Vol. 78(1), pp. 141-155 Google Scholar

5) Saavedra Nieves, A. and Saavedra-Nieves, P. (2023). Estimation of bankruptcy rules with a priori unions for establishing new systems of quotas BEIO Vol. 39(1), pp. 25-43 Google Scholar

6) Saavedra-Nieves, P. (2022). Nonparametric estimation of highest density regions for COVID-19 Journal of Nonparametric Statistics Vol. 34(3), pp. 663-682 Google Scholar

7) Rodríguez-Casal, A. and Saavedra-Nieves, P. (2022). A data-adaptive method for estimating density level sets under shape conditions Annals of Statistics Vol. 50, pp. 1653-1668 Google Scholar

8) Ameijeiras-Alonso, J.; Crujeiras, R.M.; Ginzo-Villamayor, M.J.; Rodríguez-Casal, A. and Saavedra-Nieves, P. (2022). ADISTA22: Advances in Directional Statistics. Santiago de Compostela15-17th June, 2022. Programme and Book of Abstracts. Servicio de Publicacións da Universidade de Santiago de Compostela. Editors: Ameijeiras-Alonso, J., Crujeiras, R.M., Ginzo-Villamayor, M.J., Rodríguez-Casal, A., Saavedra-Nieves, P. Google Scholar

9) Saavedra-Nieves, P. and Crujeiras, R.M. (2022). HDiR: An R Package for Computation and Nonparametric Plug-in Estimation of Directional Highest Density Regions and General Level Sets The R Journal Vol. 14(3), pp. 121-141 Google Scholar

10) França, F.; Padín-Iruegas, M. E.; Caponio, V. C. A.; Lorenzo-Pouso, A. I.; Saavedra-Nieves, P.; Chamorro-Petronacci, C.M.; Suárez-Peñaranda José M and Pérez-Sayans, M. (2022). Caspase 3 and Cleaved Caspase 3 Expression in Tumorogenesis and Its Correlations with Prognosis in Head and Neck Cancer: A Systematic Review and Meta-Analysis International Journal of Molecular Sciences Vol. 23(19), pp. 11937 Google Scholar

11) 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

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

13) 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

14) 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

15) 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

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

17) Sánchez Sellero, C.; Ginzo-Villamayor, M.J.; Ameijeiras-Alonso, J.; Borrajo, M.I.; Diéguez-Taboada, M.; Faraldo Roca, Pedro; López Vizcaíno, María Esther; Martín Vila, M.; Saavedra Nieves, A. and Saavedra-Nieves, P. (2021). ACTAS XV CONGRESO GALEGO DE ESTATÍSTICA E INVESTIGACIÓN DE OPERACIÓNS. Santiago de Compostela, 4-5-6 de novembro de 2021. Departamento de Estadística, Análisis Matemático y Optimización (USC). Editors: Sánchez Sellero, C., Ginzo-Villamayor, M.J., Ameijeiras-Alonso, J., Borrajo, M.I., Diéguez-Taboada, M., Faraldo Roca, Pedro, López Vizcaíno, María Esther, Martín Vila, M., Saa Google Scholar

18) 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

19) 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

20) 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

21) 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

22) 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

23) 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

24) 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