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Información profesores completa


Datos personales
Nombre   Cao Abad, Ricardo
Área conocimiento   Estadística e investigación operativa
Categoría   Catedrático de Universidad
Dedicación   Total
Correo   ricardo.cao@udc.es
Web personal   http://dm.udc.es/staff/ricardo_cao
Grupo investigación   MODES

Localizacion
Centro Campus Teléfono Extensión

Docencia
Titulación(es) Asignatura(s)
Máster en Asistencia e Investigación Sanitaria Técnicas de remuestreo
Máster en Técnicas Estadísticas Trabajo Fin de Master

Artículos publicados
  • Rebeca Peláez, Ingrid Van Keilegom, Ricardo Cao, Juan Vilar.
    Probability of default estimation in credit risk using mixture cure models.
    Computational Statistics and Data Analysis, 189 (2024) , 107853.

  • Jorge C-Rella, Ricardo Cao, Juan M. Vilar.
    Cost-sensitive thresholding over a two-dimensional decision region for fraud detection.
    Information Sciences, 657 (2024) , 119956.

  • Ricardo Cao.
    Comments on: Nonparametric estimation in mixture cure models with covariates.
    Test, 32 (2023) , 499–505.

  • Inés Barbeito, Daniel Precioso, María José Sierra, Susana Vegas-Azcárate, Sonia Fernández Balbuena, Begoña Vitoriano, David Goméz-Ullate, Ricardo Cao, Susana Monge, Study Group for Non-Pharmaceutical Interventions in Spain (2022).
    Effectiveness of non-pharmaceutical interventions in nine fields of activity to decrease SARS-CoV-2 transmission (Spain, September 2020 - May 2021).
    Frontiers in Public Health, 11 (2023) , 1061331.

  • Inés Barbeito, Ricardo Cao, Stefan Sperlich.
    Bandwidth selection for statistical matching and prediction.
    Test, 32 (2023) , 418-446.

  • Inés Barbeito, Ricardo Cao, Stefan Sperlich.
    Bandwidth selection for statistical matching and prediction - Supplementary Material.
    Test, 32 (2023) , 418-446.

  • Noelia Trigo-Tasende, Juan A. Vallejo, Soraya Rumbo-Feal, Kelly Conde-Pérez, Mohammed Nasser-Ali, Javier Tarrío-Saavedra, Inés Barbeito, Fernando Lamelo, Ricardo Cao, Susana Ladra, Germán Bou, Margarita Poza.
    Building-ScaleWastewater-Based Epidemiology for SARS-CoV-2 Surveillance at Nursing Homes in A Coruña, Spain.
    Environments, 10 (2023) , 11 , 189.

  • Beatriz Piñeiro-Lamas, Ana López-Cheda, Ricardo Cao, Laura Ramos-Alonso, Gabriel González-Barbeito, Cayetana Barbeito-Caamaño, Alberto Bouzas-Mosquera.
    A cardiotoxicity dataset for breast cancer patients.
    Scientific Data , 10 (2023) , 527.

  • Rebeca Peláez Suárez, Ricardo Cao Abad, Juan M. Vilar Fernández.
    Nonparametric estimation of the conditional survival function with double smoothing.
    Journal of Nonparametric Statistics, 34 (2022) , 4 , 1063-1090.

  • Ricardo Cao, José E. Chacón.
    Introduction to the special issue on Data Science for COVID-19.
    Journal of Nonparametric Statistics, 34 (2022) , 3 , 555-569.

  • Maria Pedrosa-Laza, Ana Lopez-Cheda, Ricardo Cao.
    Cure models to estimate time until hospitalization due to COVID-19.
    Applied Intelligence, 52 (2022) , 794–807 .

  • J. A. Vallejo, N. Trigo, S. Rumbo-Feal, K. Conde-Pérez, Á. López-Oriona, I. Barbeito, M. Vaamonde, J. Tarrío-Saavedra, R. Reif, S. Ladra, B. K. Rodiño-Janeiro, M. Nasser, Á. Cid, M. Veiga, A. Acevedo, C. Lamora, G. Bou, Ricardo Cao, Margarita Poza .
    Modeling the number of people infected with SARS-COV-2 from wastewater viral load in Northwest Spain.
    Science of the Total Environment, 811 (2022) , 152334.

  • Rebeca Peláez, Ricardo Cao, Juan M. Vilar.
    Bootstrap bandwidth selection and confidence regions for double smoothed default probability estimation.
    Mathematics, 10 (2022) , 9 , 1523.

  • Laura Borrajo, Ricardo Cao.
    Nonparametric Estimation for Big-But-Biased Data.
    Test, 0 (2021) , .

  • Rebeca Peláez Suárez, Ricardo Cao Abad, Juan M. Vilar Fernández.
    Nonparametric estimation of the probability of default with double smoothing.
    SORT-Statistics and Operations Research Transactions, 45 (2021) , 2 , 93-120.

  • Rebeca Peláez Suárez, Ricardo Cao Abad, Juan M. Vilar Fernández.
    Probability of default estimation in credit risk using a nonparametric approach.
    Test, 30 (2021) , 383–405.

  • Ana López-Cheda, María-Amalia Jácome, Ricardo Cao, Pablo M. De Salazar.
    Estimating lengths-of-stay of hospitalized COVID-19 patients using a non-parametric model: a case study in Galicia (Spain).
    Epidemiology and Infection, 149 (2021) , 102 , 1-8.

  • Ana López-Cheda, M. Amalia Jácome, Ingrid Van Keilegom, Ricardo Cao.
    Nonparametric covariate hypothesis tests for the cure rate in mixture cure models.
    Statistics in Medicine, 39 (2020) , 17 , 2291-2307.

  • Laura Borrajo, Ricardo Cao.
    Big-But-Biased Data Analytics for Air Quality.
    Electronics, 9 (2020) , 9 , 1551.

  • Inés Barbeito, Ricardo Cao.
    Nonparametric curve estimation and bootstrap bandwidth selection.
    WIREs Computational Statistics , 12 (2020) , 3 , e1488.

  • Ricardo Cao.
    Comments on: Data science, big data and statistics.
    Test, 28 (2019) , 3 , 289-329.

  • Daniel Barreiro-Ures, Mario Francisco-Fernández, Ricardo Cao, Basilio B. Fraguela, Ramón Doallo, Miguel Reyes.
    Analysis of interval-grouped data in weed science: The 2 binnednp Rcpp package.
    Ecology and Evolution, 9 (2019) , 10903-10915.

  • Beatriz Remeseiro, Javier Tarrío Saavedra, Mario Francisco-Fernández , Manuel G. Penedo, Salvador Naya, Ricardo Cao.
    Automatic detection of defective crankshafts by image analysis and supervised classification.
    The International Journal of Advanced Manufacturing Technology, 105 (2019) , 9 , 3761-3777.

  • Germán Aneiros, Ricardo Cao, Ricardo Fraiman, Philippe Vieu.
    Editorial for the Special Issue on Functional Data Analysis and Related Topics.
    Journal of Multivariate Analysis, 170 (2019) , 1-2.

  • Germán Aneiros, Ricardo Cao, Ricardo Fraiman, Christian Genest, Philippe Vieu.
    Recent advances in functional data analysis and high-dimensional statistics.
    Journal of Multivariate Analysis, 170 (2019) , 3-9.

  • Miguel Reyes, Mario Francisco-Fernández, Ricardo Cao, Daniel Barreiro-Ures.
    Kernel distribution estimation for grouped data.
    SORT-Statistics and Operations Research Transactions, 43 (2019) , 2 , 259-288.

  • Ines Barbeito, Ricardo Cao, Dimitris Politis.
    Bootstrap confidence intervals for conditional density function in Markov processes.
    Communications in Statistics / Simulation and Computation, 0 (2019) , .

  • Aneiros, G., Cao, R., Vieu, P .
    Editorial on the Special Issue on Functional Data Analysis and Related Topics.
    Computational Statistics, 34 (2019) , 2 , 447-450.

  • Nieves R. Brisaboa, Ricardo Cao, José R. Paramá and Fernando Silva-Coira.
    Scalable processing and autocovariance computation of big functional data.
    Software: Practice and Experience, 48 (2018) , 1 , 123-140.

  • Ines Barbeito, Ricardo Cao.
    Smoothed bootstrap bandwidth selection for nonparametric hazard rate estimation.
    Journal of Statistical Computation and Simulation, 89 (2018) , 1 , 15-37.

  • Cao, R..
    Ingenuas reflexiones de un estadístico en la era del Big Data.
    Boletín de Estadística e Investigación Operativa, 33 (2017) , 3 , 295-321.

  • G. D. Berentsen, R. Cao, M. Francisco-Fernández, D. Tjøstheim.
    Some properties of local Gaussian correlation and other nonlinear dependence measures.
    Journal of Time Series Analysis, 38 (2017) , 2 , 352-380.

  • Miguel Reyes, Mario Francisco-Fernández, Ricardo Cao.
    Bandwidth selection in kernel density estimation for interval-grouped data.
    Test, 26 (2017) , 3 , 527-545.

  • Inés Barbeito, Ricardo Cao.
    A review and some new proposals for bandwidth selection in nonparametric density estimation for dependent data.
    From Statistics to Mathematical Finance Festschrift in Honor of Winfried Stute. Springer, 0 (2017) , 173-208.

  • A. López-Cheda, Maria Amalia Jácome, Ricardo Cao.
    Nonparametric latency estimation for mixture cure models.
    Test, 26 (2017) , 2 , 353-376.

  • A. López-Cheda, R. Cao, M.A. Jácome, I. Van Keilegom.
    Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models.
    Computational Statistics and Data Analysis, 105 (2017) , 144-165.

  • M. Reyes, M. Francisco-Fernández, R. Cao.
    Nonparametric kernel density estimation for general grouped data.
    Journal of Nonparametric Statistics, 28 (2016) , 2 , 235-249.

  • Inés Barbeito, Ricardo Cao.
    Smoothed stationary bootstrap bandwidth selection for density estimation with dependent data.
    Computational Statistics and Data Analysis, 104 (2016) , 130-147.

  • J.L. Gonzalez-Andujar, M. Francisco-Fernandez, R. Cao, M. Reyes, J.M. Urbano, F. Forcella, F. Bastida.
    A comparative study between non-linear regression and non-parametric approaches for modelling Phalaris paradoxa seedling emergence.
    Weed Research, 56 (2016) , 367-376.

  • Aldana M. Gonzalez-Montoro, Ricardo Cao, Nelson Espinosa, Javier Cudeiro, Jorge Mariño.
    Bootstrap testing for cross-correlation under low firing activity.
    Journal of Computational Neuroscience, 38 (2015) , 3 , 577-587.

  • A.M. González Montoro, R. Cao, C. Faes, G. Molenberghs, N. Espinosa, J. Mariño, J. Cudeiro..
    Cross nearest spike interval based method to measure synchrony dynamics.
    Mathematical Biosciences and Engineering, 11 (2014) , 1 , 27-48.

  • A. M. González Montoro, R, Cao, N. Espinosa, J. Cudeiro, J. J. Mariño.
    Functional two-way analysis of variance and bootstrap methods for neural synchrony analysis.
    BMC Neuroscience, 0 (2014) , 15:96.

  • Tania Ortuno, Kenneth L Grieve, Ricardo Cao, Javier Cudeiro and Casto Rivadulla.
    Bursting thalamic responses in awake monkey contribute to visual detection and are modulated by corticofugal feedback.
    Frontiers in Behavioral Neuroscience, 8 (2014) , 198 , .

  • Ewa Strzalkowska-Kominiak, Ricardo Cao.
    Beran-based approach for single-index models under censoring.
    Computational Statistics, 29 (2014) , 5 , 1243-1261.

  • E. Strzalkowska-Kominiak, R.Cao.
    Maximum likelihood estimation for conditional distribution single-index models under censoring.
    Journal of Multivariate Analysis, 114 (2013) , 74-96.

  • R. Cao, M. Francisco-Fernandez, A. Anand, F. Bastida, J. L. Gonzalez-Andujar.
    Modeling Bromus diandrus seedling emergence using nonparametric estimation.
    Journal of Agricultural, Biological, and Environmental Statistics, 0 (2013) , 18 , 64-68.

  • J. Carlos Millán-Calenti, A. Sánchez, L. Lorenzo-López, R. Cao, A. Maseda.
    Influence of social support on older adults with cognitive impairment, depressive symptoms or both coexisting.
    The International Journal of Aging and Human Development , 76 (2013) , 3 , 199-214.

  • G. Boente, R. Cao, W. González Manteiga, D. Rodriguez.
    Testing in generalized partially linear models: A robust approach.
    Statistics and Probability Letters, 83 (2013) , 1 , 203-212.

  • G. Aneiros, J.M. Vilar, R. Cao, A. Muñoz San Roque.
    Functional prediction for the residual demand in electricity spot markets.
    IEEE Transactions on Power Systems, 28 (2013) , 4 , 4201-4208.

  • S. Naya, R. Cao, A. Jácome, I. López-de-Ullibarri, M. Oliveira and S. Muñoz.
    An introduction to the estimation of the Reliability, Availability and Maintainability of a submarine using Monte Carlo simulation.
    Developments in Maritime Transportation and Exploitation of Sea Resources, 0 (2013) , 761-767.

  • R. Cao, J. A. Vilar, J. M. Vilar, A. K. López.
    Sampling Error Estimation in Stratified Surveys.
    Open Journal of Statistics, 3 (2013) , 3 , 200-212.

  • S. Naya, R.Cao, M. Francisco-Fernández, J. Tarrío-Saavedra, H. Brage and C. Cancelo.
    Estimating Water and Solid Impurities in Jet Fuel from ISO Codes.
    Energy & Fuels, 27 (2013) , 12 , 7858–7867.

  • J.M. Vilar, R. Cao, G. Aneiros.
    Forecasting next-day electricity demand and price using nonparametric functional methods.
    International Journal of Electrical Power and Energy Systems, 39 (2012) , 48-55.

  • I. López-de-Ullibarri, P. Janssen, R. Cao.
    Continuous covariate frailty models for censored and truncated clustered data.
    Journal of Statistical Planning and Inference, 142 (2012) , 7 , 1864-1877.

  • P. Arias, N. Espinosa, V. Robles-García, R. Cao, J. Cudeiro.
    Antagonist muscle co-activation during straight walking and its relation to kinematics: Insight from young, elderly and Parkinson's disease.
    Brain Research, 1455 (2012) , 124-131.

  • R. Cao, J. A. Vilar, J. M. Vilar.
    Generalized variance function estimation for binary variables in a large-scale sample survey.
    Australian and New Zealand Journal of Statistics, 54 (2012) , 3 , 301-324.

  • R. Cao, M. Francisco-Fernández, A. Anand, F. Bastida y J. L. González-Andújar.
    Computing statistical indices for hydrothermal times using weed emergence data.
    Journal of Agricultural Science, 0 (2011) , 149 , 701-712.

  • M. C. Ausí­n, J. M. Vilar, R. Cao, C. González-Fragueiro.
    Bayesian analysis of aggregate loss models.
    Mathematical Finance, 21 (2011) , 2 , 257-279.

  • G. Aneiros-Pérez, R. Cao, J. M. Vilar-Fernández.
    Functional methods for time series prediction: a nonparametric approach.
    Journal of Forecasting, 30 (2011) , 3 , 377-392.

  • E. M. Molanes-López, R. Cao, Ingrid Van Keilegom.
    Smoothed empirical likelihood confidence intervals for the relative distribution with left truncated and right censored data.
    Canadian Journal of Statistics / Revue canadienne de statistique, 38 (2010) , 453-473.

  • S. Naya, R. Cao, R. Artiaga, J. Tarrí­o, J. López.
    Hypothesis Test on Parameters of Thermal Degradation Models of Materials.
    World Journal of Engineering, 7 (2010) , 128-130.

  • B. Teodorescu, I. Van Keilegom, R. Cao.
    Generalized time-dependent conditional linear models under left truncation and right censoring.
    Annals of the Institute of Statistical Mathematics, 62 (2010) , 465-485.

  • R. Cao, M. Francisco-Fernández, E. J. Quinto.
    A random effect multiplicative heteroscedastic model for bacterial growth.
    BMC Bioinformatics, 11 (2010) , 77.

  • M. Garcí­a-Magariños, A. Antoniadis, R. Cao, W. Gonzalez-Manteiga.
    Lasso Logistic Regression, GSoft and the Cyclic Coordinate Descent Algorithm. Application to Gene Expression Data.
    Statistical applications in genetics and molecular biology, 9 (2010) , 1 , 30.

  • R. Cao, J. M. Vilar, A. Devia.
    Modelling consumer credit risk via survival analysis.
    SORT-Statistics and Operations Research Transactions, 33 (2009) , 3-30.

  • C. de Labra, C. Rivadulla, N. Espinosa, M. Dasilva, R. Cao y J. Cudeiro.
    Different sources of nitric oxide mediate neurovascular coupling in the lateral geniculate nucleus of the cat.
    Frontiers in Systems Neuroscience, 3 (2009) , 9 , .

  • R. Cao, S. Naya.
    Nonlinear regression checking via local polynomial smoothing with applications to thermogravimetric analysis.
    Journal of Chemometrics, 23 (2009) , 6 , 275-282.

  • M. Garcí­a-Magariños, I. López-de-Ullibarri, R. Cao, A. Salas.
    Evaluating the Ability of Tree-Based Methods and Logistic Regression for the Detection of SNP-SNP Interaction.
    Annals of Human Genetics, 73 (2009) , 360-369.

  • J. M. Vilar, R. Cao, M. C. Ausí­n, C. González-Fragueiro.
    Nonparametric analysis of aggregate loss models.
    Journal of Applied Statistics, 36 (2009) , 2 , 149-166.

  • R. Cao, A. de las Heras, A. Saavedra.
    The uncertainties about the relationships risk - return - volatility in the Spanish stock market.
    Computational Statistics, 24 (2009) , 113-126.

  • M.A. Jácome, R. Cao.
    Strong representation of the presmoothed quantile function estimator for censored data.
    Statistica Neerlandica, 62 (2008) , 425-440.

  • M.A. Jácome, R. Cao .
    Asymptotic-based bandwidth selection for the presmoothed density estimator with censored data.
    Journal of Nonparametric Statistics, 20 (2008) , 483-506.

  • I. López, R. Cao, C. Cadarso, M. J. Lado.
    Nonparametric estimation of conditional ROC curves: application to discrimination tasks in computerized detection of early breast cancer.
    Computational Statistics and Data Analysis, 52 (2008) , 2623-2631.

  • M.A. Jácome, I. Gijbels, R. Cao.
    Comparison of presmoothing methods in kernel density estimation under censoring.
    Computational Statistics, 23 (2008) , 381-406.

  • F. López-Granados, J. M. Peña-Barragán, M. Jurado-Expósito, M. Francisco-Fernández, R. Cao, A. Alonso-Betanzos, O. Fontenla-Romero.
    Multispectral classification of grass weeds and wheat (Triticum durum) crop using linear and nonparametric functional discriminant analysis, and neural networks.
    Weed Research, 48 (2008) , 28-37.

  • R. Cao, W. González.
    Goodness-of-fit tests for conditional models under censoring and truncation.
    Journal of Econometrics, 143 (2008) , 166-190.

  • E.M. Molanes, R. Cao.
    Relative density estimation for right censored and left truncated data.
    Journal of Nonparametric Statistics, 20 (2008) , 693-720.

  • F. Barbadillo, A. Fuentes, S. Naya, R. Cao, J.L. Mier, R. Artiaga.
    Study of the degradation of a polyesther-polyurethane by TGA and the logistic mixture model.
    Materials Science Forum, 587 (2008) , 525-528.

  • E.M. Molanes, R. Cao.
    Plug-in bandwidth selector for the kernel relative density estimator.
    Annals of the Institute of Statistical Mathematics, 60 (2008) , 273-300.

  • C. Vilar, R. Cao, J. Vilar.
    AG.LOSS una aplicación informática para la predicción en modelos de pérdida agregada.
    Revista Gerencia de Riesgos y Seguros, 99 (2007) , 23-41.

  • F. Barbadillo, A. Fuentes, S. Naya, R. Cao, J.L. Mier, R. Artiaga.
    Evaluating the logistic mixture model on real and simulated TG curves.
    Journal of Thermal Analysis and Calorimetry, 87 (2007) , 1 , 223-227.

  • R. Cao, I. López.
    Product-type and presmoothed hazard rate estimators with censored data. Extended version.
    Test, 16 (2007) , 355-382.

  • M. A. Jácome, R. Cao.
    Almost sure asymptotic representation for the presmoothed distribution and density estimators for censored data.
    Statistics, 41 (2007) , 517-534.

  • R. Artiaga, R. Cao, S. Naya.
    Separation of overlapping processes from TGA data and verification by EGA.
    TECHNIQUES IN THERMAL ANALYSIS: HYPHENATED TECHNIQUES, THERMAL ANALYSIS OF THE SURFACE, AND FAST RATE ANALYSIS, 0 (2007) , 60-71.

  • R. Cao, J. M. Vilar.
    Nonparametric forecasting in time series. A comparative study errors..
    Communications in Statistics / Simulation and Computation, 36 (2007) , 311-334.

  • S. Naya, R. Cao, I. López de Ullibarri, R. Artiaga, F. Barbadillo, A. Garcí­a.
    Logistic mixture model vs arrhenius for kinetic study of degradation of materials by dynamic thermogravimetric analysis.
    Journal of Chemometrics, 20 (2006) , 158-163.

  • R. Cao, I. van Keilegom.
    Empirical likelihood tests for two-sample problems via nonparametric density estimation.
    Canadian Journal of Statistics / Revue canadienne de statistique, 34 (2006) , 61-77.

  • S. Naya, R. Cao, R. Artiaga, A. Garcí­a.
    New method for polymer classification by nonparametric regression with functional data.
    Materials Science Forum, 216 (2006) , 1452-1457.

  • R. Cao.
    Como loitar contra o nesgo.
    Gamma, 6 (2006) , 99-104.

  • R. Cao, I. López de Ullibarri, P. Janssen, N. Veraverbeke.
    Presmoothed Kaplan-Meier and Nelson-Aalen estimators.
    Journal of Nonparametric Statistics, 17 (2005) , 31-56.

  • R. Artiaga, R. Cao, S. Naya, J. Trillo.
    Nonparametric two-stage plug-in adaptive smoothing for thermal analysis.
    Journal of Statistical Computation and Simulation, 75 (2005) , 39-54.

  • R. Cao, P. Janssen, N. Veraverbeke.
    Relative hazard rate estimation for right censored and left truncated data.
    Test, 14 (2005) , 257-280.

  • R. Artiaga, R. Cao, S. Naya, B. González-Martí­n, J. L. Mier, A. Garcí­a.
    Separation of overlapping processes from TGA data and verification by EGA.
    Journal of ASTM International, 2 (2005) , 5 , .

  • R. Cao, G. Lugosi.
    Goodness-of-fit based on the kernel density estimator.
    Scandinavian Journal of Statistics. Theory and Applications, 32 (2005) , 599-615.

  • R. Artiaga, R. Cao, S. Naya.
    Polymer degradation from the thermal analysis point of view.
    Materials for Space Applications, 851 (2005) , 499-510.

  • R. Cao, S. Naya, R. Artiaga, A. Garcí­a, A. Varela.
    Logistic approach to polymer degradation in dynamic TGA.
    Polymer Degradation and Stability, 85 (2004) , 667-674.

  • R. Artiaga, R. Cao, S. Naya, A. Garcí­a, A. Varela.
    Nonparametric regression with functional data for polymer classification.
    Polymer Degradation and Stability, 85 (2004) , 667-674.

  • R. Cao, M. A. Jácome.
    Presmoothed kernel density estimator for censored data.
    Journal of Nonparametric Statistics, 16 (2004) , 289-309.

  • S. Naya, R. Cao, R. Artiaga.
    Local polynomial estimation of TGA derivatives using logistic regression for pilot bandwidth selection.
    Thermochimica Acta, 406 (2003) , 177-183.

  • S. Naya, R. Cao, R. Artiaga, A. Garcí­a, I. López de Ullibarri.
    Suavizado automático de curvas procedentes de análisis térmico con errores autocorrelacionados.
    Anales de Ingeniería Mecánica, 2 (2003) , 1498-1501.

  • R. Cao, J. Hart, A. Saavedra.
    Nonparametric maximum likelihood estimators for AR and MA time series.
    Journal of Statistical Computation and Simulation, 73 (2003) , 347-360.

  • M. Brión, R. Cao, A. Salas, M. V. Lareu, A. Carracedo.
    New method to measure minisatellite variant repeat variation in population genetic studies.
    American Journal of Human Biology, 14 (2002) , 421-428.

  • R. Cao, A. Saavedra.
    Smoothed bootstrap bandwidth selection in nonparametric density estimation for moving average processes.
    Stochastic Analysis and Applications, 19 (2001) , 4 , 555-580.

  • R. Cao, P. Janssen, N. Veraverbeke.
    Relative density estimation and local bandwidth selection width censored data.
    Computational Statistics and Data Analysis, 36 (2001) , 497-510.

  • R. Cao.
    Relative efficiency of local bandwiths in kernel density estimation.
    Statistics, 35 (2000) , 113-137.

  • R. Cao, P. Janssen, N. Veraverbeke.
    Relative density estimation with censored data.
    Canadian Journal of Statistics / Revue canadienne de statistique, 28 (2000) , 1 , 97-111.

  • R. Cao, A. Saavedra.
    On the estimation of the marginal density of a moving average process.
    Canadian Journal of Statistics / Revue canadienne de statistique, 28 (2000) , 4 , 799-815.

  • A. Saavedra, R. Cao.
    Rate of convergence of a convolution-type estimator of the marginal density of a MA(1) process.
    Stochastic Processes and their Applications, 80 (1999) , 129-155.

  • W. González-Manteiga, R. Cao.
    Bandwidth selection in density estimation with truncated and censored data.
    Annals of the Institute of Statistical Mathematics, 51 (1999) , 1 , 51-70.

  • R. Cao.
    An overview of bootstrap methods for estimating and predicting in time series.
    Boletín de la Sociedad Española de Estadística e Investigación Operativa, 8 (1999) , 1 , 95-116.

  • A. Saavedra, R. Cao.
    A comparative study of two convolution-type estimators of the marginal density of moving average processes.
    Computational Statistics, 14 (1999) , 355-373.

  • M. C. Rodrí­guez-Campos, W. González-Manteiga, R. Cao.
    Testing the hypothesis of a generalized linear regression model using nonparametric regression estimation.
    Journal of Statistical Planning and Inference, 67 (1998) , 99-122.

  • R. Cao, M. Delgado, W. González-Manteiga.
    Nonparametric curve estimation: an overview.
    Investigaciones Económicas, 21 (1997) , 2 , 209-252.

  • R. Cao, M. Febrero, W. González Manteiga, J. M. Prada Sánchez, I. Garcí­a Jurado.
    Saving computer time in constructing consistente bootstrap prediction intevals for autoregressive processes.
    Communications in Statistics / Simulation and Computation, 26 (1997) , 3 , 961-978.

  • I. García Jurado, W. González Manteiga, R. Cao, J. M. Prada Sánchez, M. Febrero Bande.
    Predicting using Box-Jenkins, nonparametric and bootstrap techniques.
    Technometrics, 37 (1995) , 303-310.

  • P. Borm, R. Cao, I. García Jurado.
    Maximum likelihood equilibria in random games.
    Optimization, 35 (1995) , 77-84.

  • P. Borm, R. Cao, I. García Jurado, L. Méndez Naya.
    Weakly strict equilibrium in finite normal form games.
    OR Spectrum, 17 (1995) , 235-238.

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

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