Forthcoming Issue

The following papers are expected to appear in
Volume 27, Number 3, July 2017

General

1. SS-2015-0364
doi:10.5705/ss.202015.0364
Parametric or nonparametric: The FIC approach
Martin Jullum and N.L. Hjort
2. SS-2015-0473
doi:10.5705/ss.202015.0473
Variable selection via partial correlation
Jingyuan Liu, Runze Li and Lejia Lou
3. SS-2015-0281
doi:10.5705/ss.202015.0281
Two-level minimum aberration designs under a conditional model with a pair of conditional and conditioned factors
Rahul Mukerjee, Jeff C.F. Wu and Ming-Chung Chang
4. SS-2015-0355
doi:10.5705/ss.202015.0355
Risk consistency of cross-validation with Lasso-type procedures
Darren Homrighausen and Daniel J. McDonald
5. SS-2015-0354
doi:10.5705/ss.202015.0354
An improved corrected score estimator for the proportional hazards model with time-dependent covariates measured with error at informative observation times
Xiao Song
6. SS-2015-0347
doi:10.5705/ss.202015.0347
Semiparametric regression analysis of recurrent gap times in the presence of competing risks
Chia-Hui Huang, Yi-Hau Chen and Ya-Wen Chuang
7. SS-2014-0153
doi:10.5705/ss.202014.0153
Semiparametric regression analysis of repeated current status data
Baosheng Liang, Xingwei Tong, Donglin Zeng and Yuanjia Wang
8. SS-2015-0318
doi:10.5705/ss.202015.0318
Heteroscedastic nested error regression models with variance functions
Shonosuke Sugasawa and Tatsuya Kubokawa
9. SS-2015-0382
doi:10.5705/ss.202015.0382
A Bayesian generalized CAR model for correlated signal detection
Andrew Brown, Gauri Datta and Nicole Lazar
10. SS-2015-0463
doi:10.5705/ss.202015.0463
Pseudo-Kernel method in U-statistic variance estimation with large kernel size
Qing Wang and Bruce Lindsay
11. SS-2014-0141
doi:10.5705/ss.202014.0141
A general approach to goodness of fit for U-processes
Youngjoo Cho and Debashis Ghosh
12. SS-2015-0332
doi:10.5705/ss.202015.0332
Bias adjustment of the Chao estimator for the size of a population
Chang Xuan Mao, Sijia Zhang and Zhilin Liao
13. SS-2015-0380
doi:10.5705/ss.202015.0380
Information criteria for prediction when distributions of data and target variables are different
Keisuke Yano and Fumiyasu Komaki
14. SS-2015-0362
doi:10.5705/ss.202015.0362
Bayesian multiple testing under sparsity for polynomial-tailed distributions
Xueying Tang, Ke Li and Malay Ghosh
15. SS-2015-0179
doi:10.5705/ss.202015.0179
Sparse and robust linear regression: an optimization algorithm and its statistical properties
Shota Katayama and Hironori Fujisaman
16. SS-2016-0243
doi:10.5705/ss.202016.0243
Upper expectation parametric regression
Lixing Zhu, Lu Lin, Ping Dong and Yunquan Song
17. SS-2015-0070
doi:10.5705/ss.202015.0070
Generalized partial linear models with unknown link and unknown baseline functions for longitudinal data
Huazhen Lin, Ling Zhou and Binhuan Wang
18. SS-2015-0011
doi:10.5705/ss.202015.0011
The effect of L1 penalization on condition number constrained estimation of precision matrix
Chunming Zhang and Xiao Guo
19. SS-2016-0116
doi:10.5705/ss.202016.0116
More powerful multiple testing in randomized experiments with non-compliance
Joseph J. Lee, Laura Forastiere, Luke Miratrix and Natesh S. Pillai
20. SS-2015-0161
doi:10.5705/ss.202015.0161
Generators for nonregular 2k-p designs
Robert W Mee
21. SS-2015-0385
doi:10.5705/ss.202015.0385
Optimal design for multiple regression with information driven by the linear predictor
Dennis Schmidt and Rainer Schwabe
22. SS-2015-0219
doi:10.5705/ss.202015.0219
Simultaneous confidence bands in nonlinear regression models with nonstationarity
Degui Li, Weidong Liu, Qiying Wang and Weibiao Wu
23. SS-2015-0426
doi:10.5705/ss.202015.0426
Bandwidth selection for estimating the two-point correlation function of a spatial point pattern using AMSE
Ji Meng Loh and Woncheol Jang
24. SS-2015-0199
doi:10.5705/ss.202015.0199
Composite T2 test for high-dimensional data
Long Feng, Changliang Zou, Zhaojun Wang and Lixing Zhu
25. SS-2015-0185
doi:10.5705/ss.202015.0185
Robust principal component analysis based on trimming around affine subspaces
Christophe Croux, Luis Angel García-Escudero, Alfonso Gordaliza, Christel Ruwet and Roberto San Martín
26. SS-2015-0357
doi:10.5705/ss.202015.0357
When is acceleration unnecessary in a degradation test?
Zhisheng Ye and Lanqing Hong