| ¡@corresponding author* | 
            
            
              | 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 |