Forthcoming Issue
The following papers are expected to appear in
Volume 27, Number 4, October 2017
Discussion |
1. SS-14-067 |
doi:10.5705/ss.2014.067 |
Dissecting Multiple Imputation from a Multi-phase Inference Perspective: What Happens When God’s, Imputer’s and Analyst’s Models Are Uncongenial?
Xianchao Xie and Xiao-Li Meng |
2. SS-2016-0344 |
doi:10.5705/ss.202016.0344 |
Discussion
Trivellore Raghunathan |
3. SS-2016-0474 |
doi:10.5705/ss.202016.0474 |
Discussion
David Draper |
4. SS-2016-0302 |
doi:10.5705/ss.202016.0302 |
Discussion
David Banks and Victor Peña |
5. SS-2016-0187 |
doi:10.5705/ss.202016.0187 |
Discussion
Yi-Hau Chen |
6. SS-2016-0282 |
doi:10.5705/ss.202016.0282 |
Discussion
Anthony F. Desmond |
7. SS-2016-0155 |
doi:10.5705/ss.202016.0155 |
Discussion
Shu Yang and Jae Kwang Kim |
8. SS-2016-0332 |
doi:10.5705/ss.202016.0332 |
Discussion
Roderick Little and Tingting Zhou |
9. SS-2016-0287 |
doi:10.5705/ss.202016.0287 |
Discussion
Jerome P. Reite |
10. SS-2017-0069 |
doi:10.5705/ss.202017.0069 |
Rejoinder: please visit the wild arboretum of multi-phase inference
Xianchao Xie and Xiao-Li Meng |
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General |
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11. SS-2015-0340 |
doi:10.5705/ss.202015.0340 |
Learning summary statistic for approximate Bayesian computation via deep neural network
Bai Jiang, Tung-Yu Wu, Charles Zheng and Wing H. Wong |
12. SS-2016-0081 |
doi:10.5705/ss.202016.0081 |
Dantzig-type penalization for multiple quantile regression with high dimensional covariates
Seyoung Park, Xuming He and Shuheng Zhou |
13. SS-2015-0279 |
doi:10.5705/ss.202015.0279 |
Generic sample splitting for refined community recovery in degree corrected stochastic block models
Jing Lei and Lingxue Zhu |
14. SS-2016-0061 |
doi:10.5705/ss.202016.0061 |
Estimation of quantiles from data with additional measurement errors
Matthias Hansmann and Michael Kohler |
15. SS-2015-0309 |
doi:10.5705/ss.202015.0309 |
Coherence for multivariate random fields
William Kleiber |
16. SS-2015-0338 |
doi:10.5705/ss.202015.0338 |
Regression analysis with response-selective sampling
Kani Chen, Yuanyuan Lin, Yuan Yao and Chaoxu Zhou |
17. SS-2016-0254 |
doi:10.5705/ss.202016.0254 |
Circulant partial hadamard matrices: construction via general difference sets and its application to fMRI experiments
Yuan-Lung Lin, Frederick Kin Hing Phoa and Ming-Hung Kao |
18. SS-2016-0366 |
doi:10.5705/ss.202016.0366 |
The ordering of Shannon entropies
Ming-Tien Tsai |
19. SS-2016-0169 |
doi:10.5705/ss.202016.0169 |
Adaptive false discovery rate control for heterogeneous data
Joshua D Habiger |
20. SS-2015-0423 |
doi:10.5705/ss.202015.0423 |
Adaptive basis selection for exponential family smoothing splines with application in joint modeling of multiple sequencing samples
Ping Ma, Nan Zhang, Jianhua Z. Huang and Wenxuan Zhong |
21. SS-2014-0061 |
doi:10.5705/ss.202014.0061 |
On parameter estimation of two dimensional polynomial phase signal model
Ananya Lahiri and Debasis Kundu |
22. SS-2015-0441 |
doi:10.5705/ss.202015.0441 |
Robust hypothesis testing via Lq-likelihood
Yichen Qin and Carey E. Priebe |
23. SS-13-173 |
doi:10.5705/ss.2013.173 |
The independence process in conditional quantile location-scale models and an application to testing for monotonicity
Melanie Birke, Natalie Neumeyer and Stanislav Volgushev |
24. SS-2015-0285 |
doi:10.5705/ss.202015.0285 |
Optimal designs for regression models using the second-order least squares estimator
Yue Yin and Julie Zhou |
25. SS-2016-0199 |
doi:10.5705/ss.202016.0199 |
Predicting disease risk by transformation models in the presence of unspecified subgroup membership
Qianqian Wang, Yanyuan Ma and Yuanjia Wang |
26. SS-2016-0210 |
doi:10.5705/ss.202016.0210 |
D-optimal designs with ordered categorical data
Jie Yang, Liping Tong and Abhyuday Mandal |
27. SS-2015-0075 |
doi:10.5705/ss.202015.0075 |
Oracle inequalities and selection consistency for weighted Lasso in high-dimensional additive hazards model
Haixiang Zhang, Liuquan Sun, Yong Zhou and Jian Huang |
28. SS-2016-0205 |
doi:10.5705/ss.202016.0205 |
Asymptotic theory for estimating the singular vectors and values of a partially-observed low rank matrix with noise
Juhee Cho, Donggyu Kim and Karl Rohe |
29. SS-2016-0128 |
doi:10.5705/ss.202016.0128 |
Some insights about the small ball probability factorization for Hilbert random elements
Enea G. Bongiorno and Aldo Goia |
30. SS-2016-0024 |
doi:10.5705/ss.202016.0024 |
Concordance measure-based feature screening and variable selection
Yunbei Ma, Yi Li, Huazhen Lin and Yi Li |
31. SS-2015-0304 |
doi:10.5705/ss.202015.0304 |
Computerized adaptive testing that allows for response revision: design and asymptotic theory
Shiyu Wang, Georgios Fellouris and Hua-Hua Chang |