Showing results 51 to 70 of 83
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Issue Date | Title | Author(s) |
2024 | Optimal subsampling proportional subdistribution hazards regression with rare events in big data | Li, E; Yu, K; Tang, ML; Tian, M |
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 |
23-Feb-2024 | Renewable Huber estimation method for streaming datasets | Jiang, R; Liang, L.; Yu, K |
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 |
2015 | Robust variable selection in partially varying coefficient single-index model | Zhu, H; Lv, Z; Yu, K; Deng, C |
9-Oct-2023 | Rong Jiang and Keming Yu's Discussion of “Estimating means of bounded random variables by betting” by Ian Waudby-Smith and Aaditya Ramdas | Jiang, R; Yu, K |
2009 | Semiparametric estimation for a class of time-inhomogenous diffusion processes | Yu, Y; Yu, K; Wang, H; Li, M |
2018 | A Simple and Adaptive Dispersion Regression Model for Count Data | Yu, K; Vinciotti, V; Klakattawi, H |
2020 | Single-index composite quantile regression for massive data | Yu, K; Jiang, R |