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

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163) Novo Pérez, M.A., Vaamonde Rivas, M., Rodríguez-Barreiro, M., Ginzo-Villamayor, M.J. (2021). Monitorización automática de aeronaves de extinción de incendios forestais. In: Boletín de la SGAPEIO (Informest)Vol. 58. pp. 2-5. SGAPEIO. Google Scholar

164) Rodríguez-Casal, A., Saavedra-Nieves, P. (2021). "Spatial distribution of invasive species: an extent of ocurrence approach". In: TEST. DOI: 10.1007/s11749-021-00783-x. Google Scholar

165) Freijeiro González, L., Febrero-Bande, M., González-Manteiga, W. (2021). A critical review of LASSO and its derivatives for variable selection under dependence among covariates. In: International Statistical ReviewVol. 90. pp. 118– 145. Wiley. ISSN: 0306-7734 Google Scholar

166) Ave, Mauro T., Ordoñez-Mayán, L., Camiña M., Febrero-Bande, M., Muñoz Barús, JI (2021). Estimation of the post-mortem interval: Effect of storage conditions on the determination of vitreous humour [K+]. In: Science & JusticeVol. 61, Issue 5. pp. 597--602. Elsevier. ISSN: 1355-0306 Google Scholar

167) Borrajo, M.I., Comas, C., Costafreda-Aumedes, S., Mateu, J. (2021). Stochastic smoothing of point processes for wildlife-vehicle collisions on road networks. In: Stochastic Environmental Research and Risk Assessment ISSN: 1436-3240 Google Scholar

168) García-Portugués, Eduardo, Navarro-Esteban, P., Cuesta-Albertos, JA (2021). A Cramér–von Mises test of uniformity on the hypersphere. In: Statistical Learning and Modeling in Data Analysispp. 107–116. Springer. Google Scholar

169) Oviedo, M, Cabo, C., Ordóñez Galán, C., Roca Pardiñas, Javier (2021). A Distance Correlation Approach for Optimum Multiscale Selection in 3D Point Cloud Classification. In: MathematicsVol. 9. pp. 1-19. MDPI. ISSN: 2227-7390 Google Scholar

170) Coladas Uria, Luis, Fernández Sotelo, María Ángeles (2021). Técnicas de Investigación Social 2021-2022 (ISBN: 978-84-09-32960-1). USC. Google Scholar