Statistica Sinica

Volume 27,  Number 3, July 2017 

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General
@ Parametric or nonparametric: the FIC approach@
Martin Jullum and Nils Lid Hjort
Sup doi:10.5705/ss.202015.0364
951
@ Variable selection via partial correlation@ @
Runze Li, Jingyuan Liu and Lejia Lou
Sup doi:10.5705/ss.202015.0473
983
@ Two-level minimum aberration designs under a conditional model with a pair of conditional and conditioning factors
Rahul Mukerjee, C. F. Jeff Wu and Ming-Chung Chang
 

doi:10.5705/ss.202015.0281

997

@ Risk consistency of cross-validation with Lasso-type procedures
Darren Homrighausen and Daniel J. McDonald
Sup

doi:10.5705/ss.202015.0355 1017

@ An improved corrected score estimator for the proportional hazards model with time-dependent covariates measured with error at informative observation times
Xiao Song
 

doi:10.5705/ss.202015.0354

1037

@ Semiparametric regression analysis of recurrent gap times in the presence of competing risks
Chia-Hui Huang, Yi-Hau Chen and Ya-Wen Chuang
Sup

doi:10.5705/ss.202015.0347

1059

@ Semiparametric regression analysis of repeated current status data
Baosheng Liang, Xingwei Tong, Donglin Zeng and Yuanjia Wang
 

doi:10.5705/ss.202014.0153
1079

@ Heteroscedastic nested error regression models with variance functions
Shonosuke Sugasawa and Tatsuya Kubokawa
Sup

doi:10.5705/ss.202015.0318
1101

@ A Bayesian generalized CAR model for correlated signal detection
D. Andrew Brown, Gauri S. Datta and Nicole A. Lazar
Sup doi:10.5705/ss.202015.0382
1125
@ Pseudo-kernel method in U-statistic variance estimation with large kernel size
Qing Wang and Bruce Lindsay
Sup

doi:10.5705/ss.202015.0463
1155

@ A general approach to goodness of fit for U-processes
Youngjoo Cho and Debashis Ghosh
Sup doi:10.5705/ss.202014.0141
1175
@ On the asymptotic variance of the Chao estimator for species richness estimation
Chang Xuan Mao, Sijia Zhang and Zhilin Liao
Sup

doi:10.5705/ss.202015.0332 1193

@ Information criteria for prediction when the distributions of current and future observations differ
Keisuke Yano and Fumiyasu Komaki
 

doi:10.5705/ss.202015.0380

1205

@ Bayesian multiple testing under sparsity for polynomial-tailed distributions
Xueying Tang, Ke Li and Malay Ghosh
Sup

doi:10.5705/ss.202015.0362
1225

@ Sparse and robust linear regression: an optimization algorithm and its statistical properties
Shota Katayama and Hironori Fujisawa
 

doi:10.5705/ss.202015.0179

1243

@ Upper expectation parametric regression
Lu Lin, Ping Dong, Yunquan Song and Lixing Zhu
Sup doi:10.5705/ss.202016.0243
1265
@ Generalized partial linear model with unknown link and unknown baseline functions for longitudinal data
Huazhen Lin, Ling Zhou and Binhuan Wang
Sup

doi:10.5705/ss.202015.0070

1281

@ The effect of L1 penalization on condition number constrained estimation of precision matrix
Xiao Guo and Chunming Zhang
Sup

doi:10.5705/ss.202015.0011

1299

@ More powerful multiple testing in randomized experiments with non-compliance
Joseph J. Lee, Laura Forastiere, Luke Miratrix and Natesh S. Pillai
 

doi:10.5705/ss.202016.0116
1319

@ Generators for nonregular 2k-p designs
Robert W Mee
Sup doi:10.5705/ss.202015.0161
1347
  Optimal design for multiple regression with information driven by the linear predictor
Dennis Schmidt and Rainer Schwabe
  doi:10.5705/ss.202015.0385
1371
  Simultaneous confidence bands in nonlinear regression models with nonstationarity
Degui Li, Weidong Liu, Qiying Wang and Wei Biao Wu
Sup doi:10.5705/ss.202015.0219
1385
  Bandwidth selection for estimating the two-point correlation function of a spatial point pattern using AMSE
Woncheol Jang and Ji Meng Loh
Sup

doi:10.5705/ss.202015.0426

1401

  Composite T2 test for high-dimensional data
Long Feng, Changliang Zou, Zhaojun Wang and Lixing Zhu
  doi:10.5705/ss.202015.0199
1419
  Robust principal component analysis based on trimming around affine subspaces
C. Croux, L.A. García-Escudero, A. Gordaliza, C. Ruwet and R. San Martín
Sup doi:10.5705/ss.202015.0185
1437
  When is acceleration unnecessary in a degradation test?
Lanqing Hong and Zhisheng Ye
Sup doi:10.5705/ss.202015.0357
1461

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