3 papers
stat.ME2026
Scalable Bayesian Spatial Mixture Modelling for Remote Sensing Image Segmentation
Bao Khanh Nguyen, Iain Cameron, Cecilia Balocchi +1
Accurate and scalable land cover classification is essential for global conservation monitoring and policy-making. While remote sensing images provide a cost-effective alternative…
stat.CO2026
Understanding uncertainty in Bayesian cluster analysis
Cecilia Balocchi, Sara Wade
The Bayesian approach to clustering is often appreciated for its ability to provide uncertainty in the partition structure. However, summarizing the posterior distribution over the…
stat.ME2025
Multiomics Tissue Segmentation via Spatially-Informed Nested Biclustering Methods
Francesco Denti, Cecilia Balocchi, Vanna Denti +1
Matrix-Assisted Laser Desorption/Ionisation Mass Spectrometry Imaging (MSI) is a powerful technique for spatially resolved molecular profiling and cancer biomarker discovery. Recen…