Density Regression Based on Proportional Hazards Family
AbstractThis paper develops a class of density regression models based on proportional hazards family, namely, Gamma transformation proportional hazard (Gt-PH) model . Exact inference for the regression parameters and hazard ratio is derived. These estimators enjoy some good properties such as unbiased estimation, which may not be shared by other inference methods such as maximum likelihood estimate (MLE). Generalised confidence interval and hypothesis testing for regression parameters are also provided. The method itself is easy to implement in practice. The regression method is also extended to Lasso-based variable selection. View Full-Text
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Dang, W.; Yu, K. Density Regression Based on Proportional Hazards Family. Entropy 2015, 17, 3679-3691.
Dang W, Yu K. Density Regression Based on Proportional Hazards Family. Entropy. 2015; 17(6):3679-3691.Chicago/Turabian Style
Dang, Wei; Yu, Keming. 2015. "Density Regression Based on Proportional Hazards Family." Entropy 17, no. 6: 3679-3691.