1. On the universal consistency of an over-parametrized deep neural network estimate learned by gradient descent

   • Selina Drews
   • Michael Kohler

   OriginalPaper 08 April 2024 Pages: 361 - 391

2. Data segmentation for time series based on a general moving sum approach

   • Claudia Kirch
   • Kerstin Reckruehm

   OriginalPaper 14 March 2024 Pages: 393 - 421

   

3. Gradual change-point analysis based on Spearman matrices for multivariate time series

   • Jean-François Quessy

   OriginalPaper 05 January 2024 Pages: 423 - 446

   

4. Statistical inference for random T-tessellations models. Application to agricultural landscape modeling

   • Katarzyna Adamczyk-Chauvat
   • Mouna Kassa
   • Radu S. Stoica

   OriginalPaper 05 April 2024 Pages: 447 - 479

   

5. Regularized nonlinear regression with dependent errors and its application to a biomechanical model

   • Hojun You
   • Kyubaek Yoon
   • Chae Young Lim

   OriginalPaper 08 February 2024 Pages: 481 - 510

   

6. Using the growth curve model in classification of repeated measurements

   • Dietrich von Rosen
   • Martin Singull

   OriginalPaper 29 March 2024 Pages: 511 - 534