Abstracts

Autumn semester 2025/ 2026

• 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.

• Polylogarithm Models for Heavy-Tailed Counts: Approximate Bayesian Inference and Application to Ecological Networks - Luiza Piancastelli.

• Bayesian analysis of continuous-time Markov chain (CTMC) for modelling cascading failure in reliability - Rakesh Ranjan.

• Lifetime-Aware Single-Cell Segmentation for Fluorescence Lifetime Imaging Microscopy - Guangchen Wang.

• 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.

• Dirichlet process mixture models for clustering with applications to flow-cytometry and transcriptomics - Boris Hejblum.

• Modelling emergent structures in mobility - Marion Hoffman.

• Statistical inference on networks with dependent edges - Jonathan Stewart.