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stat.AP2025
Modelling benthic animals in space and time using Bayesian Point Process with cross validation: the case of Holoturians
Daniele Poggio, Gian Mario Sangiovanni, Gianluca Mastrantonio +4
Understanding the spatial distribution of Holothurians is an essential task for ecosystem monitoring and sustainable management, particularly in the Mediterranean habitats. However…
stat.AP2025
BayVel: A Bayesian Framework for RNA Velocity Estimation in Single-Cell Transcriptomics
Elena Sabbioni, Enrico Bibbona, Gianluca Mastrantonio +1
RNA velocity is a model of gene expression dynamics designed to analyze single-cell RNA sequencing (scRNA-seq) data, and it has recently gained significant attention. However, desp…
stat.AP2024
Bayesian inference of Latent Spectral Shapes
Hiu Ching Yip, Daria Valente, Enrico Bibbona +3
This paper proposes a hierarchical spatial-temporal model for modelling the spectrograms of animal calls. The motivation stems from analyzing recordings of the so-called grunt call…