3 citations · 5 across the 4 of their papers we have counts for
4 papers · 1 filter
A defective cure rate quantile regression model for male breast cancer data
Agatha Rodrigues, Patrick Borges, Bruno Santos
In this article, we particularly address the problem of assessing the impact of clinical stage and age on the specific survival times of men with breast cancer when cure is a possi…
Noncrossing structured additive multiple-output Bayesian quantile regression models
Bruno Santos, Thomas Kneib
Quantile regression models are a powerful tool for studying different points of the conditional distribution of univariate response variables. Their multivariate counterpart extens…
On Bayesian quantile regression and outliers
Bruno Santos, Heleno Bolfarine
In this work we discuss the progress of Bayesian quantile regression models since their first proposal and we discuss the importance of all parameters involved in the inference pro…
Bayesian quantile regression analysis for continuous data with a discrete component at zero
Bruno Santos, Heleno Bolfarine
In this work we show a Bayesian quantile regression method to response variables with mixed discrete-continuous distribution with a point mass at zero, where these observations are…