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Analyzing the regional economic convergence in Ecuador. Insights from parametric and nonparametric models
(2016)
This paper analyses the process of regional economic convergence in Ecuador from
2007 to 2014, using parametric and non-parametric models. Applying a broad range of
methods allows deriving complex empirical findings about ...
Analyzing the regional economic convergence in Ecuador. insights from parametric and nonparametric models
(INSTITUTE FOE ECONOMIC FORECASTING, 2016-01-01)
This paper analyses the process of regional economic convergence in Ecuador from 2007 to 2014, using parametric and non-parametric models. Applying a broad range of methods allows deriving complex empirical findings about ...
Semiparametric Bayesian classification with longitudinal markers
(BLACKWELL PUBLISHING, 2007)
We analyse data from a study involving 173 pregnant women. The data are observed values of the beta human chorionic gonadotropin hormone measured during the first 80 days of gestational age, including from one up to six ...
Parametric and semi-parametric cure rate models with spatial frailties for interval-censored data
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Estatística - PPGEsCâmpus São Carlos, 2016-05-31)
In this thesis, we extend some flexible cure rate models, such as the geometric, negative
binomial and power series cure rate models, to allow for spatial correlations by including spatial
frailties for the interval ...
Bayesian inference for longitudinal data with non-parametric treatment effects
(2014)
We consider inference for longitudinal data based on mixed-effects models with a non-parametric Bayesian prior on the treatment effect.
The proposed non-parametric Bayesian prior is a random partition model with a regression ...
Analyzing the regional economic convergence in Ecuador. insights from parametric and nonparametric models
(INSTITUTE FOE ECONOMIC FORECASTING, 2018)
Parametric time-frequency analysis for discrimination of non-stationary signals
(2009)
Abstract: In this master�s thesis discrimination of non-stationary signals using time varying parametric modeling and time frequency analysis is explored. This work consists of two parts, the first, to obtain a representation ...