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MANUEL, FEBRERO BANDE
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Dirección: Facultad de Matemáticas Rúa Lope Gómez de Marzoa s/n. CP: 15782 Santiago de Compostela - A Coruña (Campus Vida)
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PUBLICACIONES

Se han encontrado 66 registros.

1) Cuesta-Albertos, JA; García-Portugués, Eduardo; Febrero-Bande, M. and González-Manteiga, W. (2019). Goodness-of-fit tests for the functional linear model based on randomly projected empirical processes Annals of Statistics Vol. 47, Nº 1, pp. 439-467 Google Scholar

2) Febrero-Bande, M.; Galeano, P. and González-Manteiga, W. (2019). Estimation, imputation and prediction for the functional linear model with scalar response with responses missing at random Computational Statistics and Data Analysis Vol. 131, pp. 91--103 Google Scholar

3) Febrero-Bande, M.; González-Manteiga, W. and Oviedo, M (2019). Variable selection in Functional Additive Regression Models Computational Statistics Vol. 34, pp. 469-487 Google Scholar

4) Cordeiro, C.; Ordoñez-Mayán, L.; Lendoiro, E.; Febrero-Bande, M.; Vieira, D.N. and Muñoz Barús, JI (2019). A reliable method for estimating the postmortem interval from the biochemistry of the vitreous humor, temperature and body weight Forensic Science International Vol. 295, pp. 157-168 Google Scholar

5) Fernández-Delgado, M.; Sirsat, MS; Cernadas, E.; Alawadi, S.; Barro, S. and Febrero-Bande, M. (2019). An extensive experimental survey of regression methods Neural Networks Vol. 111, pp. 11--34 Google Scholar

6) Oviedo, M; Febrero-Bande, M.; Muñoz, MP and Domínguez, A. (2018). Predicting seasonal influenza transmission using functional regression models with temporal dependence PloS One Vol. 13 (4), pp. 1-18 Google Scholar

7) Carballeira, R.; Vieira, D.N.; Febrero-Bande, M. and Muñoz Barús, JI (2018). A valid method to determine the site of drowning International Journal Legal Medicine Vol. 132(2), pp. 487--497 Google Scholar

8) Lloret-Caulonga, L.; Bartolomé-Lozano, J.L.; Febrero-Bande, M.; Ginzo-Villamayor, M.J.; Martínez-Diz, P.; Díaz-Losada, E. and Gramaje-Pérez, D. (2018). Grupo operativo EVID: prácticas innovadoras para combatir las enfermedades de la madera de la vid Internet Journal of Viticulture and Enology Vol. 11(3), pp. 1-4 Google Scholar

9) Amhaz-Escanlar, S.; Jorge-Mora, A.; Jorge-Mora, T; Febrero-Bande, M. and Diez-Ulloa, MA (2018). Proposal for a new trajectory for subaxial cervical lateral mass screws. European Spine Journal Vol. 27 (11), pp. 2738--2744 Google Scholar

10) González-Manteiga, W.; Febrero-Bande, M. and Piñeiro-Lamas, M. (2018). Semiparametric prediction models for variables related with energy production Journal of Mathematics in Industry Vol. 8 (7), pp. 1--16 Google Scholar

11) Febrero-Bande, M.; Galeano, P. and González-Manteiga, W. (2017). Functional Principal Component Regression and Functional Partial Least--squares Regression: An Overview and a Comparative Study International Statistical Review Vol. 85(1), pp. 61-83 Google Scholar

12) Cuesta-Albertos, JA; Febrero-Bande, M. and Oviedo, M (2017). The DD^G-classifier in the functional setting TEST Vol. 26, pp. 119-142 Google Scholar

13) González-Manteiga, W.; Febrero-Bande, M. and Piñeiro-Lamas, M. (2017). Semiparametric Prediction Models for Variables Related with Energy Production In: Progress in Industrial Mathematics at ECMI 2016 (pp. 3-15). Springer. ISBN 978-3-319-63082-3 Google Scholar

14) González-Manteiga, W.; Zubelli, J.; Monsalve-Cobis, Abelardo E. and Febrero-Bande, M. (2017). "Goodness of Fit Test for Stochastic Volatility Models". In: (pp. 89-104). From Statistics to Mathematical Finance. Festschrift in Honour of Winfried Stute. Springer Google Scholar

15) Febrero-Bande, M.; González-Manteiga, W. and Oviedo, M (2017). Variable selection in Functional Additive Regression Models In: Functional Statistics and Related Fields (pp. 113-122). Springer, Cham. Google Scholar

16) Febrero-Bande, M. (2016). Comments on: Probability enhanced effective dimension reduction for classifying sparse functional data TEST Vol. 25(1), pp. 35-40 Google Scholar

17) Ordoñez-Mayán, L.; Represas, C.; Miguens, X.; Rodríguez-Calvo, M.S.; Febrero-Bande, M. and Muñoz Barús, JI (2015). How reliable is the Spanish bodily harm assessment scale? Journal of Forensic and Legal Medicine Vol. 32, pp. 16--20 Google Scholar

18) García-Portugués, Eduardo; González-Manteiga, W. and Febrero-Bande, M. (2014). A goodness-of-fit test for the functional linear model with scalar response Journal of Computational and Graphical Statistics Vol. 23, pp. 761-778 Google Scholar

19) Rodríguez, S.; González, A.; Simón, A.; Rodríguez-Calvo, M.S.; Febrero-Bande, M.; Cordeiro, C. and Muñoz Barús, JI (2014). The use of computerized tomography in determining stature and sex from metatarsal bones Legal Medicine Vol. 16(5), pp. 252-257 Google Scholar

20) Febrero-Bande, M. and Oviedo, M (2014). "Functional Regression Models with Temporal and/or Spatial Dependence". In: Contributions in infinite-dimensional statistics and related topics (pp. 107-112). Società Editrice Esculapio Google Scholar

21) Febrero-Bande, M. and González-Manteiga, W. (2013). Generalized Additive Models for Functional Data TEST Vol. 22, 2, pp. 278-292 Google Scholar

22) Rodríguez, S.; Miguens, X.; Rodríguez-Calvo, M.S.; Febrero-Bande, M. and Muñoz Barús, JI (2013). Estimating adult stature from radiographically determined metatarsal length in a Spanish population Forensic Science International Vol. 226, 1-3 , pp. 297.e1-297.e4 Google Scholar

23) Febrero-Bande, M. (2013). Comments on: Model-free model-fitting and predictive distributions TEST Vol. 22, 2, pp. 224-226 Google Scholar

24) Inácio, V.; González-Manteiga, W.; Febrero-Bande, M.; Gude-Sampedro, F.; Alonzo, T.A. and Cadarso Suárez, Carmen María (2012). Extending induced ROC methodology to the functional context Biostatistics Vol. 13 (4), pp. 594-608 Google Scholar

25) Febrero-Bande, M. and Oviedo, M (2012). Statistical computing in functional data analysis: the R package fda.usc Journal of Statistical Software Vol. 51 (4) , pp. 1-28 Google Scholar

26) Monsalve-Cobis, Abelardo E.; González-Manteiga, W. and Febrero-Bande, M. (2011). Goodness-of-fit test for interest rate models: An approach based on empirical processes Computational Statistics & Data Analysis Vol. 55 (12), pp. 3073–3092 Google Scholar

27) Matías, J.M.; Febrero-Bande, M.; González-Manteiga, W. and Reboredo, J.C. (2010). Boosting GARCH and neural networks for the prediction of heteroskedastic time series Mathematical and Computer Modelling Vol. 51, pp. 256-271 Google Scholar

28) Febrero-Bande, M.; Galeano, P. and González-Manteiga, W. (2010). Measures of influence for the functional linear model with scalar response Journal of Multivariate Analysis Vol. 101, pp. 327-339 Google Scholar

29) Muñoz Barús, JI; Rodríguez-Calvo, M.S.; Suárez-Peñaranda José M; Duarte N Vieira; Cadarso Suárez, Carmen María and Febrero-Bande, M. (2010). PMICALC: An R code-based software for estimating postmortem interval (PMI) compatible with Windows, Mac and Linux operating systems. Forensic Science International Vol. 194, 1, pp. 49-52 Google Scholar

30) Cuesta-Albertos, JA and Febrero-Bande, M. (2010). A simple multiway ANOVA for functional data TEST Vol. 19, pp. 537-557 Google Scholar

31) Castellano Méndez, M.; Franco, A.; Cartelle, D.; Febrero-Bande, M. and Roca, E, (2009). Identification of NOx and Ozone Episodes and Estimation of Ozone by Statistical Analysis Water, Air and Soil Pollution Vol. 198, pp. 95–110 Google Scholar

32) Menezes, R.; García-Soidán, Pilar and Febrero-Bande, M. (2008). A kernel variogram estimator for clustered data Scandinavian Journal of Statistics Vol. 35, 1, pp. 18-37 Google Scholar

33) Febrero-Bande, M.; Galeano, P. and González-Manteiga, W. (2008). Outlier detection in functional data by depth measures with application to identify abnormal NOx levels Environmetrics Vol. 19, 4, pp. 331-345 Google Scholar

34) Barús, JI; Febrero-Bande, M. and Cadarso Suárez, Carmen María (2008). Flexible regression models for estimating postmortem interval (PMI) in forensic medicine Statistics in Medicine Vol. 27, pp. 5026-5038 Google Scholar

35) Matías, J.M.; Febrero-Bande, M.; González-Manteiga, W. and Reboredo, J.C. (2008). Gradient Boosting GARCH and Neural Networks for Time Series Prediction In: Supervised and Unsupervised Ensemble Methods and Their Applications (pp. 153-164). Springer Google Scholar

36) Febrero-Bande, M. (2008). A present overview on functional data analysis Boletín de la SGAPEIO Vol. 24, pp. 7-14 Google Scholar

37) Febrero-Bande, M.; Galeano, P.; González-Díaz, J. and Pateiro-López, B. (2008). Estadística. Ingeniería Técnica en Informática de Sistemas . Departamento de Estadística e Investigación Operativa. Universidad de Santiago de Compostela. ISBN: 13: 978-84-691-0974-8, DL: C-351-2008 Google Scholar

38) Febrero-Bande, M.; Galeano, P.; González-Díaz, J. and Pateiro-López, B. (2008). Prácticas de Estadística en R. Ingeniería Técnica en Informática de Sistemas . Departamento de Estadística e Investigación Operativa. Universidad de Santiago de Compostela. ISBN-13: 978-84-691-0975-1, DL: C-350-2008 Google Scholar

39) Febrero-Bande, M.; Galeano, P. and González-Manteiga, W. (2007). A functional analysis of NOx levels: location and scale estimation and outlier detection Computational Statistics Vol. 22, 3, pp. 411-427 Google Scholar

40) Cuevas, A.; Febrero-Bande, M. and Fraiman, R. (2007). Robust estimation and classification for functional data via projection-based depth notions Computational Statistics Vol. 22, 3, pp. 481-496 Google Scholar

41) Cuevas, A.; Febrero-Bande, M. and Fraiman, R. (2006). On the use of the bootstrap for estimating functions with functional data Computational Statistics & Data Analysis Vol. 51, nº 2, pp. 1063-1074 Google Scholar

42) Menezes, R.; García-Soidán, Pilar and Febrero-Bande, M. (2005). A comparison of approaches for valid variogram achievement Computational Statistics Vol. 20 4, pp. 623-642 Google Scholar

43) García-Soidán, Pilar; Febrero-Bande, M. and González-Manteiga, W. (2004). Nonparametric kernel estimation of an isotropic variogram Journal of Statistical Planning and Inference Vol. 121, pp. 65-92 Google Scholar

44) Cuevas, A.; Febrero-Bande, M. and Fraiman, R. (2004). An anova test for functional data Computational Statistics & Data Analysis Vol. 47, pp. 111-122 Google Scholar

45) Roca Pardiñas, Javier; González-Manteiga, W.; Febrero-Bande, M.; Prada-Sánchez, J. M. and Cadarso Suárez, Carmen María (2004). Predicting binary time series of SO2 using generalized additive models with unknown link function Environmetrics Vol. 15, pp. 729-742 Google Scholar

46) Castellano Méndez, M.; González-Manteiga, W.; Febrero-Bande, M.; Prada-Sánchez, J. M. and Lozano Calderón, Román (2004). Modelling of the monthly and daily behaviour of the runoff of the Xallas river using Box-Jenkins and neural networks methods Journal of Hydrology Vol. 296, pp. 38-58 Google Scholar

47) Fernández de Castro, Belén M.; Prada-Sánchez, J. M.; Febrero-Bande, M.; Bermúdez Cela, José Luis; Hernández Hernández, J. J. and González-Manteiga, W. (2003). Prediction of SO2 level using neural networks Journal of the air and waste management association Vol. 53, pp. 532-538 Google Scholar

48) Fernández-Casal, R.; González-Manteiga, W. and Febrero-Bande, M. (2003). Flexible spatio-temporal stationary variogram models Statistics and Computing Vol. 13, pp. 127-136 Google Scholar

49) Fernández-Casal, R.; González-Manteiga, W. and Febrero-Bande, M. (2003). Space-time dependency modeling using general classes of flexible stationary variogram models Journal of Geophysical Research Vol. 108, pp. NO.D24, 8779. Amer Geophysical Union Google Scholar

50) García-Soidán, Pilar; González-Manteiga, W. and Febrero-Bande, M. (2003). Local linear regression estimation of the variogram Statistics & Probability Letters Vol. 64, pp. 169-179 Google Scholar

51) Febrero-Bande, M.; Alonso Morales, Francisco Javier; Angulo Ibañez, José Miguel and González-Manteiga, W. (2002). Semi-parametric statistical approaches for space-time process prediction. Some Applications In: Spatial Statistics Through Applications (pp. 127-146). Witpress Google Scholar

52) Cuevas, A.; Febrero-Bande, M. and Fraiman, R. (2002). Linear functional regression: The case of fixed design and functional response The Canadian Journal of Statistics Vol. 30, (2), pp. 285-300 Google Scholar

53) Yebra Pimentel Vilar, Eva; Giráldez Fernández, María Jesus; Arias, F. L.; González, J.; González, J. M.; Parafita Mato, Manuel Ángel and Febrero-Bande, M. (2001). Rigid gas permeable contact lens and corneal topography Ophthalmic And Physiological Optics Vol. 21, nº 3, pp. 236-242 Google Scholar

54) Cuevas, A.; Febrero-Bande, M. and Fraiman, R. (2001). Cluster analysis: a further approach based on density estimation Computational Statistics & Data Analysis Vol. 36-4, pp. 441-459 Google Scholar

55) Prada-Sánchez, J. M.; Febrero-Bande, M.; Cotos Yáñez, T.R.; Bermúdez Cela, José Luis and González-Manteiga, W. (2000). Prediction of SO2 pollution incidents near a power station using partially linear models and an historical matrix of predictor-response vectors Environmetrics Vol. 11, pp. 209-225 Google Scholar

56) Cuevas, A.; Febrero-Bande, M. and Fraiman, R. (2000). Estimating the number of clusters The Canadian Journal of Statistics Vol. 28, (2), pp. 367-382 Google Scholar

57) Lado-Abeal, J; Prieto, D.; Lorenzo Solar, Mónica; Lojo, Santiago; Febrero-Bande, M.; Camarero Gonzalez, Emma Paz and Cabezas-Cerrato, J. (1999). Differences between men and women as regards the effects of protein-energy malnutrition on the hypothalamic-pituitary-gonadal axis Nutrition Vol. 15, nº 5, pp. 351-358. Elsevier Science Inc Google Scholar

58) Angulo Ibañez, José Miguel; Febrero-Bande, M.; Alonso Morales, Francisco Javier and González-Manteiga, W. (1998). Semi-parametric statistical approaches for space-time process prediction Environmental and Ecological Statistics Vol. 5, pp. 297-316 Google Scholar

59) García-Soidán, Pilar and Febrero-Bande, M. (1998). Comment on "The Kriged Kalman Filter" TEST Vol. 7, (2), pp. 264-266 Google Scholar

60) Cao, R.; Febrero-Bande, M.; Prada-Sánchez, J. M.; García-Jurado, I. and González-Manteiga, W. (1997). Saving computer time in constructing consistent bootstrap prediction intervals for autoregressive processes Communications in Statistics: Simulation and Computation Vol. 26, 3, pp. 961-978 Google Scholar

61) Prada-Sánchez, J. M. and Febrero-Bande, M. (1997). 3.0.CO;2-K target='_blank'>Parametric, Nonparametric and mixed approaches to prediction of sparsely distributed pollution incidents: A case study Journal of Chemometrics Vol. 11, nº 1, pp. 13-32 Google Scholar

62) Lado-Abeal, J; Liz, JL; Rey, C.; Febrero-Bande, M. and Cabezas-Cerrato, J. (1996). Effects of valproate-induced alteration of the GABAergic system on pulsatile luteinizing hormone secretion in ovariectomized women European Journal of Endrocrinology Vol. 135, pp. 293-298. Bioscientifica Ltd Google Scholar

63) García-Jurado, I.; Cao, R.; Febrero-Bande, M.; Prada-Sánchez, J. M. and González-Manteiga, W. (1995). Prediction using Box-Jenkins, nonparametric and bootstrap techniques Technometrics Vol. 37, 3, pp. 303-310 Google Scholar

64) Cao, R.; Febrero-Bande, M.; García-Jurado, I.; González-Manteiga, W. and Prada-Sánchez, J. M. (1994). Un estudio de simulación comparativo de técnicas no paramétricas, semiparamétricas y Box-Jenkins para la predicción con datos dependientes Estadística Española Vol. 36, 135, pp. 5-20 Google Scholar

65) González-Manteiga, W.; García-Jurado, I.; Cao, R.; Febrero-Bande, M.; Prada-Sánchez, J. M. and Lucas Domínguez, Tomás (1993). Time Series Analysis for ambient concentrations Atmospheric Environment Vol. 27A, 2, pp. 153-158. Pergamon-Elsevier Science Ltd Google Scholar

66) Cao, R.; González-Manteiga, W.; Prada-Sánchez, J. M.; García-Jurado, I. and Febrero-Bande, M. (1992). Forecasting using a semiparametric model In: Computational Statistics (pp. 327-330). Springer Heidelberg Google Scholar