Volume 109
Taras Bodnar and Ostap Okhrin
Editorial (Link), 1-2
Dietmar Ferger
Distributional hyperspace-convergence of Argmin-sets in convex M-estimation (Link), 3-35
Laura Hucker and Martin Wahl
A note on the prediction error of principal component regression in high dimensions (Link), 37-53
Tomasz J. Kozubowski, Stepan Mazur and Krzysztof Podgórski
Matrix variate generalized asymmetric Laplace distributions (Link), 55-80
Tatjana Pavlenko and Felix L. Rios
Graphical posterior predictive classification: Bayesian model averaging with particle Gibbs (Link), 81-99
Jonathan von Schroeder, Thorsten Dickhaus and Taras Bodnar
Reverse stress testing in skew-elliptical models (Link), 101-127
Takayuki Yamada, Tetsuto Himeno, Annika Tillander and Tatjana Pavlenko
Test for mean matrix in GMANOVA model under heteroscedasticity and non-normality for high-dimensional data (Link), 129-158
Soledad Torres and Lauri Viitasaari
Stochastic differential equations with discontinuous diffusion coefficients (Link), 159-175