Publicacións derivadas das teses


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1) Alonso-Pena, M., I. Gijbels, Crujeiras, R.M. (To appear). A general framework for circular local likelihood regression. In: Journal of the American Statistical Association Google Scholar

2) Aneiros Pérez, German, Vilar Fernández, Juan Manuel, Cao, R., Muñoz-San-Roque, A. (To appear). "Functional prediction for the residual demand in electricity spot markets". In: IEEE Transactions on Power Systems. Google Scholar

3) Boente, G., Pardo Fernández, Juan Carlos (To appear). "Testing for superiority between two variance functions". In: Statistics and Probability Letters. Vol. 156. pp. 108612. Google Scholar

4) Meilán-Vila, A., Fernández-Casal, R., Crujeiras, R.M., Francisco-Fernández, M. (To appear). A computational validation for nonparametric assessment of spatial trends. In: Computational Statistics Google Scholar

5) Meilán-Vila, A., Francisco-Fernández, M., Crujeiras, R.M. (To appear). Goodness-of-fit tests for multiple regression with circular response. In: Journal of Statistical Computation and SimulationTaylor and Francis. Google Scholar

6) Martínez Santalla, S., Martín Devasa, R. M., Gómez-Rodríguez, Carola, Crujeiras, R.M., Baselga, Andrés (To appear). Assessing the non-linear decay of community similarity: permutation and site-block resampling significance tests. In: Journal of Biogeography Google Scholar

7) González-Manteiga, W., Crujeiras, R.M., García-Portugués, Eduardo (To appear). A review of goodness-of-fit tests for models involving functional data. In: TRENDS IN MATHEMATICAL, INFORMATION AND DATA SCIENCES: A TRIBUTE TO LEANDRO PARDO Google Scholar

8) Martín Devasa, R. M., Gómez-Rodríguez, Carola, Crujeiras, R.M., Baselga, Andrés (To appear). Species range size shapes distance-decay in community similarity . In: Diversity and DistributionsWiley. Google Scholar

9) Giráldez Suárez, P., Crujeiras, R.M., Fernández, J. Ángel, Aboal-Viñas, J.R. (To appear). Establishment of background pollution levels and spatial analysis of moss data on a regional scale. In: Science of the Total Environment Google Scholar

10) Pico-Calvo, A., Nachón, D.J., Vieira-Lanero, R., Barca, S., Cobo, M.C., Crujeiras, R.M., Cobo Gradín, F. (To appear). Application of Machine Learning Methodologies for Unravelling the Philopatry and Dispersal Range of Alosa Species in the Eastern European Atlantic. In: Biology and Life Sciences Forum Google Scholar