A Penalized Wishart Mixture Model for Clustering Covariance Matrices - Andrea Cappozzo.
Example-based Explanations in Machine Learning (Information Systems) - Eoin Delaney.
Modelling yields of multispecies grassland mixtures across a climatic gradient: results from an international biodiversity experiment - James O'Malley.
Reproducibility of Statistical Hypothesis Tests - Frank Coolen.
A Stochastic Block Model to model Sardex community currency - Sebastien Appleby.
The Grammar of Conflict: Discovering Motifs in Armed Violence - Thomas Chadefaux.
New approaches based on machine learning to predict insect outbreaks - Gabriel Palma.
Statistical inference on networks with dependent edges - Jonathan Stewart.
Introducing IDS-TILDA – a longitudinal study of ageing and intellectual disability - Caitriona Ryan.
In Search of Chemical Reaction Network Science - Evan Spotte-Smith.
Conceptual perspectives on defining distances between causal graphs - Leonard Henckel.
AI-Driven Environmental Informatics for Climate Resilient Cities - Soumyabrata Dev.
Exploiting sparsity in Expectation-Maximization for fitting finite mixture models - Jason Wyse.
pdglasso: an R package for Gaussian graphical models for paired data - Saverio Ranciati.
Statistics teaching and research as complementary factors in statistics education - Emma Howard.