期刊： STATISTICA SINICA, 2021; 31 (3)
U-statistics are widely used in fields such as economics, machine learning, and statistics. However, while they enjoy desirable statistical properties......
期刊： STATISTICA SINICA, 2021; 31 (3)
Motivated by recent analyses of data in biomedical imaging studies, we consider a class of image-on-scalar regression models for imaging responses and......
期刊： STATISTICA SINICA, 2021; 31 (3)
We propose a projection-based test to check partially linear models. The proposed test achieves a reduction in dimension and, in the presence of multi......
期刊： STATISTICA SINICA, 2021; 31 (3)
Conditional quantile estimations are an essential ingredient in modern risk management, and many other applications, where the conditional heterosceda......
期刊： STATISTICA SINICA, 2021; 31 (3)
Network analyses are becoming increasingly popular in a wide range disciplines, including social science, finance, and genetics. In practice, it is co......
期刊： STATISTICA SINICA, 2021; 31 (3)
Deep neural networks (DNNs) have recently demonstrated an excellent performance on many challenging tasks. However, overfitting remains a significant ......
期刊： STATISTICA SINICA, 2021; 31 (3)
We investigate a functional additive quantile regression that models the conditional quantile of a scalar response based on the nonparametric effects ......
期刊： STATISTICA SINICA, 2021; 31 (3)
Quadratic regressions extend linear models by simultaneously including the main effects and the interactions between the covariates. As such, estimati......
期刊： STATISTICA SINICA, 2021; 31 (1)
We propose a self-normalization sequential change-point detection method for time series. To test for parameter changes, most traditional sequential m......
期刊： STATISTICA SINICA, 2021; 31 (1)
Screening for ultrahigh-dimensional features becomes difficult in the presence of outlying observations, heterogeneous or heavy-tailed distributions, ......
期刊： STATISTICA SINICA, 2021; 31 (1)
The extensive coverage of suicides in the media has long been considered a trigger for copycat suicides. However, evidence of such an effect is indire......
期刊： STATISTICA SINICA, 2021; 31 (1)
We propose novel one-sided omnibus tests for independence between two multivariate stationary time series. These new tests apply the Hilbert-Schmidt i......
期刊： STATISTICA SINICA, 2021; 31 (1)
In the context of sufficient dimension reduction (SDR), the sliced inverse regression (SIR) successfully reduces the covariate dimension of a high-dim......
期刊： STATISTICA SINICA, 2021; 31 (1)
High-dimensional interaction models have important applications in many scientific fields, especially in genetic research and medical studies. As in h......
期刊： STATISTICA SINICA, 2021; 31 (1)
This study proposes a partial functional partially linear single-index model that consists of a functional linear component and a linear single-index ......
