3 papers
stat.ME2017
A Robust t-process Regression Model with Independent Errors
Wang Zhanfeng, Noh Maengseok, Lee Youngjo +1
Gaussian process regression (GPR) model is well-known to be susceptible to outliers. Robust process regression models based on t-process or other heavy-tailed processes have been d…
stat.ME2017
Nearly Semiparametric Efficient Estimation of Quantile Regression
Kani Chen, Yuanyuan Lin, Zhanfeng Wang +1
As a competitive alternative to least squares regression, quantile regression is popular in analyzing heterogenous data. For quantile regression model specified for one single quan…
stat.ME2011
Evaluating the diagnostic powers of variables and their linear combinations when the gold standard is continuous
Zhanfeng Wang, Yuan-chin Ivan Chang
The receiver operating characteristic (ROC) curve is a very useful tool for analyzing the diagnostic/classification power of instruments/classification schemes as long as a binary-…