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Ricardo Cao
Ricardo Cao
Department of Mathematics, Group MODES, CITIC, Universidade da Coruña, Spain
Bestätigte E-Mail-Adresse bei udc.es - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
3231994
Introducción a la simulación y a la teoría de colas
RC Abad
Netbiblo, 2002
1782002
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
1762019
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
1732012
Comments on: Nonparametric inference with generalized likelihood ratio tests
R Cao
Test 16 (3), 468-470, 2007
128*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
1161997
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
982009
Modelling consumer credit risk via survival analysis
R Cao, JM Vilar, A Devia
SORT: statistics and operations research transactions 33 (1), 0003-30, 2009
972009
Bootstrapping the mean integrated squared error
R Cao
Journal of Multivariate Analysis 45 (1), 137-160, 1993
961993
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
911996
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
872013
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
842006
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
832004
Testing the hypothesis of a general linear model using nonparametric regression estimation
W González-Manteiga, R Cao
Test 2 (1), 161-188, 1993
781993
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
752017
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
682008
Rate of convergence for the wild bootstrap in nonparametric regression
R Cao-Abad
The Annals of Statistics 19 (4), 2226-2231, 1991
671991
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
661997
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
592011
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
592000
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