Contents of Vol.78, No.4
Note
Listed below are the papers which will appear in the next issue of Ann. Inst. Statist. Math. Pages are subject to change.
Rate of convergence of over-parametrized deep neural network regression estimates learned by stochastic gradient descent
.......... Michael Kohler and Adam Krzyżak (78, 545-601)
Simultaneously sparse and low-rank matrix estimation via l1-norm and nonconvex regularization
.......... Ling Peng, Shanshan Tang, Fei Huang and Weiying Ping (78, 603-625)
Debiased group lasso for multiple compositional data
.......... Sujin Lee and Sungkyu Jung (78, 627-651)
Building a theoretical foundation for combining negative controls and replicates
.......... Jiming Jiang, Johann A. Gagnon-Bartsch and Terence P. Speed (78, 653-688)
Combining variable screening methods for model averaging in high-dimensional data analysis
.......... Zhihao Zhao, Yuhong Yang and Li Wen (78, 689-720)
