Showing results 44 to 63 of 81
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| Issue Date | Title | Author(s) |
| 2012 | New bandwidth selection for kernel quantile estimators | Al-Kenani, A; Yu, K |
| 2014 | New inference for constant-stress accelerated life tests with Weibull distribution and progressively type-II censoring | Wang, BX; Yu, K; Sheng, Z |
| 2014 | New regression methods for measures of central tendency | Aristodemou, Katerina |
| 3-Dec-2021 | No-crossing single-index quantile regression curve estimation | Yu, K; Jiang, R |
| 11-Oct-2023 | Non-crossing quantile double-autoregression for the analysis of streaming time series data | Jiang, R; Choy, SK; Yu, K |
| 2017 | A novel Bayesian regression model for counts with an application to health data | Yu, K; Haselimashhadia, H; Vinciotti, V |
| 2017 | Novel regularization models for dynamic and discrete response data | Hamed, Haseli Mashhadi |
| 2013 | Order-statistics-based inferences for censored lifetime data and financial risk analysis | Sheng, Zhuo |
| 2009 | A partially collapsed Gibbs sampler for Bayesian quantile regression | Reed, C; Yu, K |
| 2012 | Penalized flexible Bayesian quantile regression | Yu, K; Alkenani, A; Alhamzawi, R |
| 2013 | Penalized single-index quantile regression | Yu, K |
| 2011 | Power prior elicitation in Bayesian quantile regression | Alhamzawi, R; Yu, K |
| 2013 | Prior elicitation and variable selection for bayesian quantile regression | Al-Hamzawi, Rahim Jabbar Thaher |
| 2011 | Prior elicitation in Bayesian quantile regression for longitudinal data | Al-Hamzawi, R; Yu, K; Pan, J |
| 2016 | Quantile autoregression neural network model with applications to evaluating value at risk | Xu, Q; Liu, X; Jiang, C; Yu, K |
| 2015 | Quantile regression with group lasso for classification | Hashem, H; Vinciotti, V; Alhamzawi, R; Yu, K |
| 2010 | Quantile-based methods for prediction, risk measurement and inference | Ally, Abdallah K |
| 2014 | Regularized and robust regression methods for high dimensional data | Hashem, Hussein Abdulahman |
| 13-Aug-2022 | Renewable quantile regression for streaming data sets | Jiang, R; Yu, K |
| 2014 | Robust variable selection for nonlinear models with diverging number of parameters | Lv, Z; Zhu, H; Yu, K |
