Showing results 32 to 51 of 71
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Issue Date | Title | Author(s) |
25-Feb-2022 | K-nearest neighbor estimation of functional nonparametric regression model under NA samples | Hu, X; Wang, J; Wang, L; Yu, K |
2016 | A large CVaR-based portfolio selection model with weight constraints | Xu, Q; Zhou, Y; Jiang, C; Yu, K; Niu, X |
2009 | Local linear spatial quantile regression | Hallin, M; Lu, Z; Yu, K |
2009 | M-quantile regression analysis of temporal gene expression data | Vinciotti, V; Yu, K |
2018 | Making use of external corrosion defect assessment (ECDA) data to predict DCVG %IR drop and coating defect area 10.1002/maco.201810085 | Yu, K |
2019 | Modelling Tails for Collinear Data with Outliers in the English Longitudinal Study of Ageing: Quantile Profile Regression | Liu, X; Siverani, S; Yu, K; Smith, KJ |
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 |
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 |