Forthcoming Issue
The following papers are expected to appear in
Volume 28, Number 1, January 2018
General |
1. SS-2016-0260 |
doi:10.5705/ss.202016.0260 |
Stability Enhanced Large-Margin Classifier Selection
Will Wei Sun, Guang Cheng and Yufeng Liu |
2. SS-2016-0026 |
doi:10.5705/ss.202016.0026 |
Using differential variability to increase the power of the homogeneity test in a two-sample problem
Guanfu Liu, Yuejiao Fu, Pengfei Li and Xiaolong Pu |
3. SS-2016-0063 |
doi:10.5705/ss.202016.0063 |
Two-sample tests for high-dimension, strongly spiked eigenvalue models
Makoto Aoshima and Kazuyoshi Yata |
4. SS-2016-0032 |
doi:10.5705/ss.202016.0032 |
Two-Sample Tests for High-Dimensional Linear Regression with an Application to Detecting Interactions
Yin Xia, Tianxi Cai and T. Tony Cai |
5. SS-2015-0471 |
doi:10.5705/ss.202015.0471 |
Nonparametric confidence bands in Wicksell's problem
Jakub Wojdyla and Zbigniew Szkutnik |
6. SS-2016-0150 |
doi:10.5705/ss.202016.0150 |
Assessing The Treatment Effect Heterogeity with a Latent Variable
Yunjian Yin, Lan Liu and Zhi Geng |
7. SS-2015-0174 |
doi:10.5705/ss.202015.0174 |
Assessing the heterogeneity of treatment effects by identifying the treatment benefit rate and treatment harm rate
Yunjian Yin, Xiao-Hua Zhou, Zhi Geng and Fang Lu |
8. SS-2016-0333 |
doi:10.5705/ss.202016.0333 |
A projection-based adaptive-to-model test for regressions
Falong Tan, Xuehu Zhu and Lixing Zhu |
9. SS-2015-0387 |
doi:10.5705/ss.202015.0387 |
A New Reduced-Rank Linear Discriminant Analysis Method and Its Applications
Yue Selena Niu, Ning Hao and Bin Dong |
10. SS-2016-0368 |
doi:10.5705/ss.202016.0368 |
A Generalized Measure of Uncertainty in Geostatistical Model Selection
Chun-Shu Chen, Jun Zhu and Tingjin Chu |
11. SS-2016-0011 |
doi:10.5705/ss.202016.0011 |
Almost the Best of Three Worlds: Risk, Consistency and Optional Stopping for the Switch Criterion in Nested Model Selection
Stéphanie Van Der Pas and Peter Grünwald |
12. SS-2015-0202 |
doi:10.5705/ss.202015.0202 |
Inference of high-dimensional linear models with time-varying coefficients
Xiaohui Chen and Yifeng He |
13. SS-2016-0342 |
doi:10.5705/ss.202016.0342 |
Constrained Partial Linear Regression Splines
Mary C. Meyer |
14. SS-2014-0117 |
doi:10.5705/ss.202014.0117 |
Sure Independence Screening Adjusted for Confounding Covariates with Ultrahigh-dimensional Data
Canhong Wen, Wenliang Pan, Mian Huang and Xueqin Wang |
15. SS-2016-0468 |
doi:10.5705/ss.202016.0468 |
A Thresholding-Based Prewhitened Long-Run Variance Estimator and Its Dependence-Oracle Property
Ting Zhang |
16. SS-2016-0306 |
doi:10.5705/ss.202016.0306 |
Hochberg procedure under negative dependence
Jiangtao Gou and Ajit C. Tamhane |
17. SS-2015-0267 |
doi:10.5705/ss.202015.0267 |
Multiple Hypothesis Tests Controlling Generalized Error Rates for Sequential Data
Jay Bartroff |
18. SS-2016-0112 |
doi:10.5705/ss.202016.0112 |
Inference of Bivariate Long-memory Aggregate Time Series
Henghsiu Tsai, Heiko Rachinger and Kung-Sik Chan |
19. SS-2016-0113 |
doi:10.5705/ss.202016.0113 |
Modeling subject-specific nonautonomous dynamics
Siyuan Zhou, Debashis Paul and Jie Peng |
20. SS-2016-0122 |
doi:10.5705/ss.202016.0122 |
Sequential Model Averaging for High Dimensional Linear Regression Models
Wei Lan, Yingying Ma, Junlong Zhao, Hansheng Wang and Chih-Ling Tsai |
21. SS-2016-0064 |
doi:10.5705/ss.202016.0064 |
Sampling Designs on Finite Populations with Spreading Control Parameters
Yves Tillé, Lionel Qualité and Matthieu Wilhelm |
22. SS-2015-0293 |
doi:10.5705/ss.202015.0293 |
Singular prior distributions in Bayesian D-optimal design for nonlinear models
Timothy Waite |
23. SS-2016-0527 |
doi:10.5705/ss.202016.0527 |
Tobit quantile regression of left-censored longitudinal data with informative observation times
Zhanfeng Wang, Jieli Ding, Liuquan Sun and Yaohua Wu |