70 citations · 165 across the 7 of their papers we have counts for
7 papers
Improved distance correlation estimation
Blanca E. Monroy-Castillo, M. A, Jácome +1
Distance correlation is a novel class of multivariate dependence measure, taking positive values between 0 and 1, and applicable to random vectors of arbitrary dimensions, not nece…
Bagging cross-validated bandwidths with application to Big Data
Daniel Barreiro-Ures, Ricardo Cao, Mario Francisco Fernández +1
Hall and Robinson (2009) proposed and analyzed the use of bagged cross-validation to choose the bandwidth of a kernel density estimator. They established that bagging greatly reduc…
Cure models to estimate time until hospitalization due to COVID-19
Maria Pedrosa-Laza, Ana López-Cheda, Ricardo Cao
A short introduction to survival analysis and censored data is included in this paper. A thorough literature review in the field of cure models has been done. An overview on the mo…
Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models
Ana López-Cheda, Ricardo Cao, M. Amalia Jácome +1
A completely nonparametric method for the estimation of mixture cure models is proposed. A nonparametric estimator of the incidence is extensively studied and a nonparametric estim…
Nonparametric covariate hypothesis tests for the cure rate in mixture cure models
Ana López-Cheda, M. Amalia Jácome, Ingrid Van Keilegom +1
In lifetime data, like cancer studies, theremay be long term survivors, which lead to heavy censoring at the end of the follow-up period. Since a standard survival model is not app…
Nonparametric latency estimation for mixture cure models
Ana López-Cheda, M. Amalia Jácome, Ricardo Cao
A nonparametric latency estimator for mixture cure models is studied in this paper. An i.i.d. representation is obtained, the asymptotic mean squared error of the latency estimator…