Ricardo Cao

According to our database, Ricardo Cao authored at least 23 papers between 1999 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Improved distance correlation estimation.

Blanca E. Monroy-Castillo, M. Amalia Jácome, Ricardo Cao

Appl. Intell., February, 2025

Instance-dependent cost-sensitive parametric learning.

Jorge C.-Rella, Gerda Claeskens, Ricardo Cao, Juan Manuel Vilar

Neurocomputing, 2025

2024

Cost-sensitive thresholding over a two-dimensional decision region for fraud detection.

Jorge C.-Rella, Ricardo Cao, Juan Vilar

Inf. Sci., February, 2024

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., January, 2024

2022

Cure models to estimate time until hospitalization due to COVID-19.

Maria Pedrosa-Laza, Ana López-Cheda, Ricardo Cao

Appl. Intell., 2022

Nonparametric probability of default estimation in presence of cure fraction.

Rebeca Peláez, Ingrid Van Keilegom, Ricardo Cao, Juan Manuel Vilar

Proceedings of V XoveTIC Conference, 2022

2021

Bootstrap confidence intervals for conditional density function in Markov processes.

Inés Barbeito, Ricardo Cao, Dimitris Politis

Commun. Stat. Simul. Comput., 2021

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

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 on the special issue on Functional Data Analysis and Related Topics.

Germán Aneiros, Ricardo Cao, Philippe Vieu

Comput. Stat., 2019

2018

Scalable processing and autocovariance computation of big functional data.

Nieves R. Brisaboa, Ricardo Cao, José R. Paramá, Fernando Silva-Coira

Softw. Pract. Exp., 2018

2017

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

2016

Smoothed stationary bootstrap bandwidth selection for density estimation with dependent data.

Inés Barbeito, Ricardo Cao

Comput. Stat. Data Anal., 2016

2015

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

2014

Beran-based approach for single-index models under censoring.

Ewa Strzalkowska-Kominiak, Ricardo Cao

Comput. Stat., 2014

2013

Maximum likelihood estimation for conditional distribution single-index models under censoring.

Ewa Strzalkowska-Kominiak, Ricardo Cao

J. Multivar. Anal., 2013

2011

Nonparametric Density Estimation.

Ricardo Cao

Proceedings of the International Encyclopedia of Statistical Science, 2011

2010

A random effect multiplicative heteroscedastic model for bacterial growth.

Ricardo Cao, Mario Francisco-Fernández, Emiliano J. Quinto

BMC Bioinform., 2010

2009

The uncertainties about the relationships risk-return-volatility in the Spanish stock market.

Ricardo Cao, Alicia de las Heras, Angeles Saavedra

Comput. Stat., 2009

2008

Comparison of presmoothing methods in kernel density estimation under censoring.

M. Amalia Jácome, Irène Gijbels, Ricardo Cao

Comput. Stat., 2008

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

2007

Nonparametric Forecasting in Time Series - A Comparative Study.

Juan M. Vilar-Fernández, Ricardo Cao

Commun. Stat. Simul. Comput., 2007

1999

A comperative study of two convolution-type estimators of the marginal density of moving average processes.

Angeles Saavedra, Ricardo Cao

Comput. Stat., 1999