Ricardo Cao

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Wenceslao Gonzalez ManteigaCatedrático de Universidad, Universidad de Santiago de CompostelaVerified email at usc.es
Juan Manuel Vilarprofesor UDCVerified email at udc.es
Mario Francisco FernandezUniversity of A CoruñaVerified email at udc.es
Salvador NayaUniversidad de A CoruñaVerified email at udc.es
Ramon ArtiagaUniversidad de A CoruñaVerified email at udc.es
Germán Aneiros PérezUniversidade da CoruñaVerified email at udc.es
Ingrid Van KeilegomKU LeuvenVerified email at kuleuven.be
Javier Tarrío-SaavedraCITIC, Grupo MODES, Universidade da CoruñaVerified email at udc.es
Ignacio García-JuradoDepartment of Mathematics, Universidade da Coruña, SpainVerified email at udc.es
Nelson EspinosaPontificia Universidad Católica de ChileVerified email at uc.cl
Ricardo FraimanProfesor, Centro de Matemática, Universidad de la República, UruguayVerified email at cmat.edu.uy
Angel CarracedoGrupo de Medicina Xenomica. Instituto Ciencias Forenses. Universidad de Santiago de CompostelaVerified email at usc.es
Amparo Alonso-BetanzosCatedrática de Computación, CITIC (UDC)Verified email at udc.es
Antonio CuevasUniversidad Autónoma de MadridVerified email at uam.es
Jose L. Gonzalez-AndujarInstituto de Agricultura Sostenible, Consejo Superior de Investigaciones Cientificas (CSIC)Verified email at ias.csic.es
Manuel Garcia-MagariñosDepartamento de Matemáticas. Universidade da CoruñaVerified email at udc.es
J. S. MarronUniversity of North CarolinaVerified email at unc.edu
Antonio Salas (orcid: 0000-0002-2336...Full Professor at the USC (Santiago; Galicia - Spain) - Instituto de Investigación Sanitaria (IDIS)Verified email at usc.es
Gabor LugosiICREA and Universitat Pompeu FabraVerified email at upf.edu
Casto RivadullaProfessor of PhysiologyVerified email at udc.es

Ricardo Cao

Department of Mathematics, Group MODES, CITIC, Universidade da Coruña, Spain

Verified email at udc.es - Homepage

Nonparametric Statistics Bootstrap Survival Analysis Big Data Statistical Analysis Statistical Modelling for Neurosience and


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A comparative study of several smoothing methods in density estimation R Cao, A Cuevas, WG Manteiga Computational Statistics & Data Analysis 17 (2), 153-176, 1994	310	1994
Forecasting next-day electricity demand and price using nonparametric functional methods JM Vilar, R Cao, G Aneiros International Journal of Electrical Power & Energy Systems 39 (1), 48-55, 2012	151	2012
Introducción a la simulación y a la teoría de colas RC Abad Netbiblo, 2002	139	2002
Universal smoothing factor selection in density estimation: theory and practice D Devroye, J Beirlant, R Cao, R Fraiman, P Hall, MC Jones, G Lugosi, ... Test 6, 223-320, 1997	117	1997
Comments on: Nonparametric inference with generalized likelihood ratio tests R Cao Test 16 (3), 468-470, 2007	116*	2007
Recent advances in functional data analysis and high-dimensional statistics G Aneiros, R Cao, R Fraiman, C Genest, P Vieu Journal of Multivariate Analysis 170, 3-9, 2019	111	2019
Bootstrapping the mean integrated squared error R Cao Journal of Multivariate Analysis 45 (1), 137-160, 1993	93	1993
Evaluating the ability of tree‐based methods and logistic regression for the detection of SNP‐SNP interaction M García‐Magariños, I López‐de‐Ullibarri, R Cao, A Salas Annals of human genetics 73 (3), 360-369, 2009	89	2009
Bootstrap selection of the smoothing parameter in nonparametric hazard rate estimation W González-Manteiga, R Cao, JS Marron Journal of the American Statistical Association 91 (435), 1130-1140, 1996	88	1996
Modelling consumer credit risk via survival analysis R Cao, JM Vilar, A Devia SORT: statistics and operations research transactions 33 (1), 0003-30, 2009	78	2009
Empirical likelihood tests for two‐sample problems via nonparametric density estimation R Cao, I Van Keilegom Canadian Journal of Statistics 34 (1), 61-77, 2006	76	2006
Logistic approach to polymer degradation in dynamic TGA R Cao, S Naya, R Artiaga, A Garcı́a, A Varela Polymer Degradation and Stability 85 (1), 667-674, 2004	74	2004
Testing the hypothesis of a general linear model using nonparametric regression estimation W González-Manteiga, R Cao Test 2, 161-188, 1993	74	1993
Saving computer time in constructing consistent bootstrap prediction intervals for autoregressive processes R Cao, M Febrerobande, W González-Manteiga, JM Prada-Sánchez, ... Communications in Statistics-Simulation and Computation 26 (3), 961-978, 1997	71	1997
Rate of convergence for the wild bootstrap in nonparametric regression R Cao-Abad The Annals of Statistics 19 (4), 2226-2231, 1991	65	1991
Functional prediction for the residual demand in electricity spot markets G Aneiros, JM Vilar, R Cao, AM San Roque IEEE Transactions on Power Systems 28 (4), 4201-4208, 2013	64	2013
Multispectral classification of grass weeds and wheat (Triticum durum) using linear and nonparametric functional discriminant analysis and neural networks F LÓPEZ‐GRANADOS, JM PEÑA‐BARRAGÁN, M JURADO‐EXPÓSITO, ... Weed Research 48 (1), 28-37, 2008	57	2008
On the estimation of the marginal density of a moving average process A Saavedra, R Cao Canadian Journal of Statistics 28 (4), 799-815, 2000	57	2000
Presmoothed Kaplan–Meier and Nelson–Aalen estimators R Cao, I López-de-Ullibarri, P Janssen, N Veraverbeke Journal of Nonparametric Statistics 17 (1), 31-56, 2005	50	2005
Predicting using box—jenkins, nonparametric, and bootstrap techniques I García-Jurado, W González-Manteiga, JM Prada-Sánchez, ... Technometrics 37 (3), 303-310, 1995	50	1995

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