Buscar
Mostrando ítems 1-10 de 4411
A note on Smoothed Functional Inverse Regression
(Statistica Sinica, 2007-12)
Estimation in the context of functional data analysis is almost always non-parametric, since the object to be estimated lives in an infinite dimensional space. That is the case for the functional linear model with a ...
Regression models for grouped survival data: Estimation and sensitivity analysis
(ELSEVIER SCIENCE BV, 2011)
In this study, regression models are evaluated for grouped survival data when the effect of censoring time is considered in the model and the regression structure is modeled through four link functions. The methodology for ...
Regression models for grouped survival data: Estimation and sensitivity analysis
(2011)
In this study, regression models are evaluated for grouped survival data when the effect of censoring time is considered in the model and the regression structure is modeled through four link functions. The methodology for ...
Linear functional regression: The case of fixed design and functional response
(Universidad de San Andrés. Departamento de Matemáticas y Ciencias, 2001-06)
Support vector regression for functional data in multivariate calibration problems
(Elsevier Science BvAmsterdamHolanda, 2009)
Uniform consistency of kNN regressors for functional variables
(Elsevier, 2013-08)
This paper is devoted to nonparametric analysis of functional data. We give asymptotic results for a kNN generalized regression estimator when the observed variables take values in any abstract space. The main novelty is ...
Comparison of random regression models to estimate genetic parameters for milk production in Guzerat (Bos indicus) cows
(2013-01-24)
Random regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression ...