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 | 319 | 1994 |
Introducción a la simulación y a la teoría de colas RC Abad Netbiblo, 2002 | 171 | 2002 |
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 | 167 | 2012 |
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 | 164 | 2019 |
Comments on: Nonparametric inference with generalized likelihood ratio tests R Cao Test 16 (3), 468-470, 2007 | 125* | 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 |
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 | 96 | 2009 |
Bootstrapping the mean integrated squared error R Cao Journal of Multivariate Analysis 45 (1), 137-160, 1993 | 96 | 1993 |
Modelling consumer credit risk via survival analysis R Cao, JM Vilar, A Devia SORT: statistics and operations research transactions 33 (1), 0003-30, 2009 | 92 | 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 | 84 | 2013 |
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 | 82 | 2004 |
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 | 80 | 2006 |
Testing the hypothesis of a general linear model using nonparametric regression estimation W González-Manteiga, R Cao Test 2 (1), 161-188, 1993 | 78 | 1993 |
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 | 69 | 2017 |
Rate of convergence for the wild bootstrap in nonparametric regression R Cao-Abad The Annals of Statistics 19 (4), 2226-2231, 1991 | 67 | 1991 |
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 | 66 | 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 | 66 | 1997 |
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 | 58 | 2000 |
Antagonist muscle co-activation during straight walking and its relation to kinematics: insight from young, elderly and Parkinson's disease P Arias, N Espinosa, V Robles-García, R Cao, J Cudeiro Brain research 1455, 124-131, 2012 | 55 | 2012 |