期刊： COMPUTATIONAL STATISTICS, 2021; 36 (2)
We propose a generalized mixed-effects model based on t-process for longitudinal correlated binary data. The correlations among repeated binary outcom......
期刊： COMPUTATIONAL STATISTICS, 2021; 36 (3)
This paper proposes an extension of principal component analysis to non-stationary multivariate time series data. A criterion for determining the numb......
期刊： COMPUTATIONAL STATISTICS, ; ()
Survival data including potentially cured subjects are common in clinical studies and mixture cure rate models are often used for analysis. The non-cu......
期刊： COMPUTATIONAL STATISTICS, ; ()
We propose a fast Newton algorithm for l(0) regularized high-dimensional generalized linear models based on support detection and root finding. We ref......
期刊： COMPUTATIONAL STATISTICS, ; ()
Exponential regression models with censored data are most widely used in practice. In the modeling process, there exist situations where the covariate......
期刊： COMPUTATIONAL STATISTICS, ; ()
We consider a computationally simple orthogonal projection method to implement the (Bai and Ng in Econometrica 70:191-221, 2002) information criterion......
期刊： COMPUTATIONAL STATISTICS, ; ()
In regression models with a grouping structure among the explanatory variables, variable selection at the group and within group individual variable l......
期刊： COMPUTATIONAL STATISTICS, ; ()
In this article, we investigate bi-level variable selection approaches in semiparametric transformation models when a grouping structure of covariates......
期刊： COMPUTATIONAL STATISTICS, ; ()
As the high throughput technologies rapidly develop, multiple types of genomic data become available within and across different studies. It has becom......
期刊： COMPUTATIONAL STATISTICS, ; ()
A scale-shape mixtures of flexible generalized skew normal (SSMFGSN) distributions is proposed as a novel device for modeling asymmetric data. Computa......
期刊： COMPUTATIONAL STATISTICS, ; ()
With the emergence of big data, it is increasingly common that the data are distributed. i.e., the data are stored at many distributed sites (machines......
期刊： COMPUTATIONAL STATISTICS, 2020; 35 (2)
This paper proposes a semiparametric time-dependent jump diffusion model in an effort to capture the dynamic behavior of short-term interest rates. Th......
期刊： COMPUTATIONAL STATISTICS, 2020; 35 (2)
As one of the most popular topics currently, big data has played an important role in both academic research and practical applications. However, in t......
期刊： COMPUTATIONAL STATISTICS, 2020; 35 (2)
Financial distress prediction models are much challenged in identifying a distressed company two or more years prior to the occurrence of its actual d......
期刊： COMPUTATIONAL STATISTICS, 2020; 35 (2)
This paper attempts to compare the performance between a single-stage appointment scheduling system and two-stage appointment scheduling system. For t......
