A comperative study of two convolution-type estimators of the marginal density of moving average processes. - Angeles Saavedra; Ricardo Cao (Comput. Stat., 1999)

Nonparametric Forecasting in Time Series - A Comparative Study. - Juan M. Vilar-Fernández; Ricardo Cao (Commun. Stat. Simul. Comput., 2007)

Nonparametric estimation of conditional ROC curves: Application to discrimination tasks in computerized detection of early breast cancer. - Ignacio López-de-Ullibarri; Ricardo Cao; Carmen Cadarso-Suárez; María J. Lado (Comput. Stat. Data Anal., 2008)

Comparison of presmoothing methods in kernel density estimation under censoring. - M. Amalia Jácome; Irène Gijbels; Ricardo Cao (Comput. Stat., 2008)

The uncertainties about the relationships risk-return-volatility in the Spanish stock market. - Ricardo Cao; Alicia de las Heras; Angeles Saavedra (Comput. Stat., 2009)

A random effect multiplicative heteroscedastic model for bacterial growth. - Ricardo Cao; Mario Francisco-Fernández; Emiliano J. Quinto (BMC Bioinform., 2010)

Nonparametric Density Estimation. - Ricardo Cao (International Encyclopedia of Statistical Science, 2011)

Maximum likelihood estimation for conditional distribution single-index models under censoring. - Ewa Strzalkowska-Kominiak; Ricardo Cao (J. Multivar. Anal., 2013)

Beran-based approach for single-index models under censoring. - Ewa Strzalkowska-Kominiak; Ricardo Cao (Comput. Stat., 2014)

Bootstrap testing for cross-correlation under low firing activity. - Aldana M. González-Montoro; Ricardo Cao; Nelson Espinosa; Javier Cudeiro; Jorge Mariño (J. Comput. Neurosci., 2015)

Smoothed stationary bootstrap bandwidth selection for density estimation with dependent data. - Inés Barbeito; Ricardo Cao (Comput. Stat. Data Anal., 2016)

Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models. - Ana López-Cheda; Ricardo Cao; M. Amalia Jácome; Ingrid Van Keilegom (Comput. Stat. Data Anal., 2017)

Scalable processing and autocovariance computation of big functional data. - Nieves R. Brisaboa; Ricardo Cao; José R. Paramá; Fernando Silva-Coira (Softw. Pract. Exp., 2018)

Editorial on the special issue on Functional Data Analysis and Related Topics. - Germán Aneiros; Ricardo Cao; Philippe Vieu (Comput. Stat., 2019)

Recent advances in functional data analysis and high-dimensional statistics. - Germán Aneiros; Ricardo Cao; Ricardo Fraiman; Christian Genest; Philippe Vieu (J. Multivar. Anal., 2019)

Editorial for the Special Issue on Functional Data Analysis and Related Topics. - Germán Aneiros; Ricardo Cao; Ricardo Fraiman; Philippe Vieu (J. Multivar. Anal., 2019)

Bootstrap confidence intervals for conditional density function in Markov processes. - Inés Barbeito; Ricardo Cao; Dimitris Politis (Commun. Stat. Simul. Comput., 2021)

Nonparametric probability of default estimation in presence of cure fraction. - Rebeca Peláez; Ingrid Van Keilegom; Ricardo Cao; Juan Manuel Vilar (XoveTIC, 2022)

Cure models to estimate time until hospitalization due to COVID-19. - Maria Pedrosa-Laza; Ana López-Cheda; Ricardo Cao (Appl. Intell., 2022)

Probability of default estimation in credit risk using mixture cure models. - Rebeca Peláez; Ingrid Van Keilegom; Ricardo Cao; Juan Manuel Vilar (Comput. Stat. Data Anal., 2024)

Cost-sensitive thresholding over a two-dimensional decision region for fraud detection. - Jorge C.-Rella; Ricardo Cao; Juan Vilar (Inf. Sci., 2024)

Instance-dependent cost-sensitive parametric learning. - Jorge C.-Rella; Gerda Claeskens; Ricardo Cao; Juan Manuel Vilar (Neurocomputing, 2025)

Improved distance correlation estimation. - Blanca E. Monroy-Castillo; M. Amalia Jácome; Ricardo Cao (Appl. Intell., 2025)

Statistical Procedure for Panel Block Assembly in Shipbuilding. - Deborah Otero; Ricardo Cao; Vicente Blasco; Álvaro Brage; Javier Tarrío-Saavedra; Salvador Naya (Qual. Reliab. Eng. Int., 2025)