Contents of Vol.76, No.3
Note
Listed below are the papers which will appear in the next issue of Ann. Inst. Statist. Math. Pages are subject to change.
On the universal consistency of an over-parametrized deep neural network estimate learned by gradient descent
.......... Selina Drews and Michael Kohler (76, 361-391)
Data segmentation for time series based on a general moving sum approach
.......... Claudia Kirch and Kerstin Reckruehm (76, 393-721)
Gradual change-point analysis based on Spearman matrices for multivariate time series
.......... Jean-François Quessy (76, 423-446)
Statistical inference for random T-tessellations models. Application to agricultural landscape modeling.
.......... Katarzyna Adamczyk-Chauvat, Mouna Kassa, Julien Papaïx, Kiên Kiêu and Radu S. Stoica (76, 447-479)
Regularized nonlinear regression with dependent errors and its application to a biomechanical model
.......... Hojun You, Kyubaek Yoon, Wei-Ying Wu, Jongeun Choi and Chae Young Lim (76, 481-510)
Using the growth curve model in classification of repeated measurements
.......... Dietrich von Rosen and Martin Singull (76, 511-534)
