¡@corresponding author* |
GENERAL |
|
Asymptotics of eigenstructure of sample correlation matrices for high-dimensional spiked models
David Morales-Jimenez, Iain M. Johnstone*, Matthew R. McKay and Jeha Yang |
Supp |
doi:10.5705/ss.202019.0052
571 |
¡@ |
Longitudinal clustering for heterogeneous binary data
Xiaolu Zhu, Xiwei Tang and Annie Qu* |
Supp |
doi:10.5705/ss.202018.0298
603 |
¡@ |
Testing heteroscedasticity for regression models based on projections
Falong Tan, Xuejun Jiang*, Xu Guo and Lixing Zhu |
Supp |
doi:10.5705/ss.202018.0322
625 |
|
Propensity model selection with nonignorable nonresponse and instrument variable
Lei Wang, Jun Shao and Fang Fang* |
|
doi:10.5705/ss.202019.0025
647 |
¡@ |
Causal proportional hazards estimation with a binary instrumental variable
Behzad Kianian, Jung In Kim, Jason P. Fine and Limin Peng* |
Supp |
doi:10.5705/ss.202019.0096
673 |
¡@ |
On supervised reduction and its dual
Peirong Xu and Tao Wang* |
Supp |
doi:10.5705/ss.202017.0532
701 |
¡@ |
Least favorable direction test for multivariate analysis of variance in high dimension
Rui Wang and Xingzhong Xu* |
Supp |
doi:10.5705/ss.202018.0279
723 |
¡@ |
Optimal subsampling algorithms for big data regressions
Mingyao Ai, Jun Yu, Huiming Zhang and HaiYing Wang* |
Supp |
doi:10.5705/ss.202018.0439
749 |
¡@ |
Robust inference in varying-coefficient additive models for longitudinal/functional data
Lixia Hu, Tao Huang* and Jinhong You |
Supp |
doi:10.5705/ss.202018.0483
773 |
|
Robust estimation of the mean and covariance matrix for high dimensional time series
Danna Zhang* |
Supp |
doi:10.5705/ss.202018.0185
797 |
¡@ |
Sufficient dimension reduction for feasible and robust estimation of average causal effect
Trinetri Ghosh*, Yanyuan Ma and Xavier de Luna |
Supp |
doi:10.5705/ss.202018.0416
821 |
¡@ |
On the beta prime prior for scale parameters in high-dimensional Bayesian regression models
Ray Bai* and Malay Ghosh |
Supp |
doi:10.5705/ss.202019.0037
843 |
¡@ |
Minimal second order saturated designs and their applications to space-filling designs
Boxin Tang*, Ching-Shui Cheng and Yuanzhen He |
|
doi:10.5705/ss.202018.0267
867 |
¡@ |
Fast nonparametric maximum likelihood density deconvolution using Bernstein polynomials
Zhong Guan* |
Supp |
doi:10.5705/ss.202018.0173
891 |
|
Calibrated zero-norm regularized LS estimator for high-dimensional error-in-variables regression
Ting Tao, Shaohua Pan and Shujun Bi* |
Supp |
doi:10.5705/ss.202018.0507
909 |
¡@ |
Varying-coefficient panel data model with interactive fixed effects
Sanying Feng, Gaorong Li*, Heng Peng and Tiejun Tong |
Supp |
doi:10.5705/ss.202018.0248
935 |
¡@ |
Testing one hypothesis multiple times
Sara Algeri* and David A. van Dyk |
Supp |
doi:10.5705/ss.202018.0027
959 |
¡@ |
Efficient nonparametric three-stage estimation of fixed effects varying coefficient panel data models
Juan M. Rodriguez-Poo* and Alexandra Soberon |
Supp |
doi:10.5705/ss.202018.0382
981 |
|
A model-averaging method for high-dimensional regression with missing responses at random
Jinhan Xie, Xiaodong Yan and Niansheng Tang* |
Supp |
doi:10.5705/ss.202018.0297
1005 |
|
Subgroup analysis in censored linear regression
Xiaodong Yan, Guosheng Yin and Xingqiu Zhao* |
Supp |
doi:10.5705/ss.202018.0319
1027 |
|
Omnibus model checks of linear assumptions through distance covariance
Kai Xu* and Daojiang He |
Supp |
doi:10.5705/ss.202019.0311
1055 |
¡@ |
Efficient designs for the estimation of mixed and self carryover effects
Joachim Kunert* and Johanna Mielke |
Supp |
doi:10.5705/ss.202018.0137
1081 |
|
Hypothesis testing in large-scale functional linear regression
Kaijie Xue and Fang Yao* |
Supp |
doi:10.5705/ss.202018.0456
1101 |