Ricardo Cao

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	Semua	Sejak 2020
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Juan Manuel Vilarprofesor UDCEmail yang diverifikasi di udc.es
Wenceslao Gonzalez ManteigaCatedrático de Universidad, Universidad de Santiago de CompostelaEmail yang diverifikasi di usc.es
Mario Francisco FernandezUniversity of A CoruñaEmail yang diverifikasi di udc.es
Salvador NayaUniversidad de A CoruñaEmail yang diverifikasi di udc.es
Germán Aneiros PérezUniversidade da CoruñaEmail yang diverifikasi di udc.es
Ingrid Van KeilegomKU LeuvenEmail yang diverifikasi di kuleuven.be
Ramon ArtiagaUniversidad de A CoruñaEmail yang diverifikasi di udc.es
Javier Tarrío-SaavedraCITIC, Grupo MODES, Universidade da CoruñaEmail yang diverifikasi di udc.es
Ignacio García-JuradoDepartment of Mathematics, Universidade da Coruña, SpainEmail yang diverifikasi di udc.es
Nelson EspinosaPontificia Universidad Católica de ChileEmail yang diverifikasi di uc.cl
Ricardo FraimanProfesor, Centro de Matemática, Universidad de la República, UruguayEmail yang diverifikasi di cmat.edu.uy
Amparo Alonso-BetanzosCatedrática de Computación, CITIC (UDC)Email yang diverifikasi di udc.es
Jose L. Gonzalez-AndujarInstituto de Agricultura Sostenible, Consejo Superior de Investigaciones Cientificas (CSIC)Email yang diverifikasi di ias.csic.es
Antonio CuevasUniversidad Autónoma de MadridEmail yang diverifikasi di uam.es
Manuel Garcia-MagariñosDepartamento de Matemáticas. Universidade da CoruñaEmail yang diverifikasi di udc.es
Angel CarracedoGrupo de Medicina Xenomica. Instituto Ciencias Forenses. Universidad de Santiago de CompostelaEmail yang diverifikasi di usc.es
Casto RivadullaProfessor of PhysiologyEmail yang diverifikasi di udc.es
J. S. MarronUniversity of North CarolinaEmail yang diverifikasi di unc.edu
Gabor LugosiICREA and Universitat Pompeu FabraEmail yang diverifikasi di upf.edu
Manuel Febrero BandeFull Professor of Statistics, University of Santiago de CompostelaEmail yang diverifikasi di usc.es

Ikuti

Ricardo Cao

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

Email yang diverifikasi di udc.es - Beranda

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


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	323	1994
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	180	2019
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	172	2012
Introducción a la simulación y a la teoría de colas RC Abad Netbiblo, 2002	166	2002
Comments on: Nonparametric inference with generalized likelihood ratio tests R Cao Test 16 (3), 468-470, 2007	127*	2007
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	116	1997
Modelling consumer credit risk via survival analysis R Cao, JM Vilar, A Devia SORT: statistics and operations research transactions 33 (1), 0003-30, 2009	95	2009
Bootstrapping the mean integrated squared error R Cao Journal of Multivariate Analysis 45 (1), 137-160, 1993	95	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	94	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	91	1996
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	89	2013
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	88	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	88	2004
Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models A López-Cheda, R Cao, MA Jácome, I Van Keilegom Computational Statistics & Data Analysis 105, 144-165, 2017	78	2017
Testing the hypothesis of a general linear model using nonparametric regression estimation W González-Manteiga, R Cao Test 2 (1), 161-188, 1993	76	1993
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	69	2008
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	69	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 methods for time series prediction: a nonparametric approach G Aneiros‐Pérez, R Cao, JM Vilar‐Fernández Journal of Forecasting 30 (4), 377-392, 2011	59	2011
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	59	2000

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