期刊： COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021; 159 ()
Hypotheses testing procedures based on quadratic inference functions are proposed to test whether two Gaussian Bayesian networks are differential in s......
期刊： COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021; 160 ()
A model selection problem for the conditional probability function of the response variable Y given the covariable vector (X, Z) is considered under t......
期刊： COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021; 164 ()
A projection-averaging-based cumulative divergence to characterize the conditional mean independence is proposed. As a natural extension of Zhou et al......
期刊： COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021; 160 ()
To estimate the joint multivariate regression function, a robust ultra-high dimensional semiparametric model averaging approach is developed. Specific......
期刊： COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021; 161 ()
Statistical analysis of massive data is becoming more and more common. Distributed composite quantile regression (CQR) for massive data is proposed in......
期刊： COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021; 161 ()
In the big data era, practical applications often encounter incomplete data. Current distributed methods, ignoring missingness, may cause inconsistent......
期刊： COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021; 160 ()
Testing the equality for two-sample means with high dimensional distributions is a fundamental problem in statistics. In the past two decades, many ef......
期刊： COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021; 162 ()
Jump regression analysis (JRA) provides a useful tool for estimating discontinuous functional relationships between a response and predictors. Most ex......
期刊： COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021; 161 ()
In censored linear regression, a key assumption is that the error is independent of predictors. We develop an omnibus test to check error heterogeneit......
期刊： COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021; 161 ()
Existing semiparametric mixture cure models with interval-censored data often assume a survival model, such as the Cox proportional hazards model, pro......
期刊： COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021; 159 ()
Feature screening has become an indispensable statistical modeling tool for ultrahigh dimensional data analysis. This article introduces a new model-f......
期刊： COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021; 160 ()
Modal regression is a good alternative of the mean regression and likelihood based methods, because of its robustness and high efficiency. A robust co......
期刊： COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021; 159 ()
High-dimensional data often occur nowadays in various areas, such as genetic and microarray data. The covariance matrix is of fundamental importance i......
期刊： COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021; 160 ()
A novel metric, called kernel-based conditional mean dependence (KCMD), is proposed to measure and test the departure from conditional mean independen......
期刊： COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021; 160 ()
Multi-task learning is increasingly used to investigate the association structure between multiple responses and a single set of predictor variables i......
