Ricardo Cao

According to our database1, Ricardo Cao authored at least 16 papers between 1999 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2019
Editorial for the Special Issue on Functional Data Analysis and Related Topics.
J. Multivar. Anal., 2019

Recent advances in functional data analysis and high-dimensional statistics.
J. Multivar. Anal., 2019

Editorial on the special issue on Functional Data Analysis and Related Topics.
Comput. Stat., 2019

2018
Scalable processing and autocovariance computation of big functional data.
Softw. Pract. Exp., 2018

2017
Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models.
Comput. Stat. Data Anal., 2017

2016
Smoothed stationary bootstrap bandwidth selection for density estimation with dependent data.
Comput. Stat. Data Anal., 2016

2015
Bootstrap testing for cross-correlation under low firing activity.
J. Comput. Neurosci., 2015

2014
Beran-based approach for single-index models under censoring.
Comput. Stat., 2014

2013
Maximum likelihood estimation for conditional distribution single-index models under censoring.
J. Multivar. Anal., 2013

2011
Nonparametric Density Estimation.
Proceedings of the International Encyclopedia of Statistical Science, 2011

2010
A random effect multiplicative heteroscedastic model for bacterial growth.
BMC Bioinform., 2010

2009
The uncertainties about the relationships risk-return-volatility in the Spanish stock market.
Comput. Stat., 2009

2008
Comparison of presmoothing methods in kernel density estimation under censoring.
Comput. Stat., 2008

Nonparametric estimation of conditional ROC curves: Application to discrimination tasks in computerized detection of early breast cancer.
Comput. Stat. Data Anal., 2008

2007
Nonparametric Forecasting in Time Series - A Comparative Study.
Commun. Stat. Simul. Comput., 2007

1999
A comperative study of two convolution-type estimators of the marginal density of moving average processes.
Comput. Stat., 1999


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