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Bayesian Elastic Net Tobit Quantile Regression
Communications in Statistics - Simulation and Computation, 2014In this article, the problem of parameter estimation and variable selection in the Tobit quantile regression model is considered. A Tobit quantile regression with the elastic net penalty from a Bayesian perspective is proposed. Independent gamma priors are put on the l1 norm penalty parameters.
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Bayesian Spatial Quantile Regression
2015W wielu zastosowaniach, podstawowym problemem jest opis i analiza wpływu wektora skorelowanych zmiennych objaśniających X na zmienna objaśnianą Y. W przypadku, gdy obserwacje badanych zmiennych są dodatkowo rozmieszczone przestrzennie, zadanie jest jeszcze trudniejsze, ponieważ mamy dodatkowe zależności, wynikające ze zmienności przestrzennej ...
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Bayesian Quantile Regression for Count Data with Application to Environmental Epidemiology
Journal of the Royal Statistical Society Series C: Applied Statistics, 2010Duncan Lee, Tereza Neocleous
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Bayesian Elastic Net Tobit Quantile Regression
Communications in Statistics Part B: Simulation and Computation, 2016Rahim Alhamzawi
exaly
Posterior Inference in Bayesian Quantile Regression with Asymmetric Laplace Likelihood
International Statistical Review, 2016Yunwen Yang +2 more
exaly
Bayesian quantile regression for ordinal longitudinal data
Journal of Applied Statistics, 2018Rahim Alhamzawi +1 more
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Bayesian quantile regression for longitudinal data models
Journal of Statistical Computation and Simulation, 2012Heng Lian, Maozai Tian
exaly
Bayesian variable selection and estimation in maximum entropy quantile regression
Journal of Applied Statistics, 2017Xiaoqian Sun
exaly

