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Sequential adaptive nonparametric regression via H-splines
(Marcel Dekker IncNew YorkEUA, 1999)
Density estimation via hybrid splines
(Gordon Breach Sci Publ LtdReadingInglaterra, 1998)
A time-varying fiscal reaction function for Brazil
(Escola de Pós-Graduação em Economia da FGV, 2018-05-01)
This paper evaluates the sustainability of public debt in Brazil using monthly data from January 2003 to June 2016, based on the estimation of fiscal reaction functions with time-varying coefficients. Three estimation ...
A time-varying fiscal reaction function for Brazil
(Escola de Pós-Graduação em Economia da FGV, 2017-12-01)
This paper evaluates the sustainability of public debt in Brazil using monthly data from the period between January 2003 and June 2016, based on estimation of fiscal reaction functions with time-varying coefficients. Three ...
The parametric and additive partial linear regressions based on the generalized odd log-logistic log-normal distribution
(Taylor & Francis Inc, 2020-07-19)
We propose two new regressions based on the generalized odd log-logistic log-normal distribution allowing for positive and negative skewness to model bimodal data. The first one is the parametric regression and the second ...
A penalized nonparametric method for nonlinear constrained optimization based on noisy data
(SpringerNew YorkEUA, 2010)
Introdução à análise de dados funcionais com ênfase em splines e b-splines
(Universidade Federal de Juiz de Fora (UFJF)BrasilICE – Instituto de Ciências ExatasUFJF, 2023)
Modelos mistos semiparamétricos parcialmente não lineares
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2014-03-28)
Correlated data sets with nonlinear structure are common in many areas such as biostatistics, pharmacokinetics and longitudinal studies. Nonlinear mixed-effects models are useful tools to analyse those type of problems. ...