Invited Papers -- Symbolic Formulae for Linear Mixed Models -- code::proof: Prepare for most weather conditions -- Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Models -- Flexible Modelling via Multivariate Skew Distributions -- Estimating occupancy and fitting models with the two-stage approach -- Component elimination strategies for mixtures of multiple scale distributions -- An introduction to approximate Bayesian computation -- Contributing Papers -- Truth, Proof, and Reproducibility: There's no counter-attack for the codeless -- On Adaptive Gauss-Hermite Quadrature for Estimation in GLMM's -- Deep learning with periodic features and applications in particle physics -- Copula Modelling of Nurses' Agitation-Sedation Rating of ICU Patients -- Predicting the whole distribution with methods for depth data analysis demonstrated on a colorectal cancer treatment study -- Resilient and Deep Network for Internet of Things (IoT) Malware Detection -- Prediction of Neurological Deterioration of Patients with Mild Traumatic Brain Injury using Machine Learning -- Spherical data handling and analysis with R package rcosmo -- On the Parameter Estimation in the Schwartz-Smith's Two-Factor Model -- Interval estimators for inequality measures using grouped data -- Exact model averaged tail area confidence intervals. .