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cs.LG2026
Understanding When Poisson Log-Normal Models Outperform Penalized Poisson Regression for Microbiome Count Data
Daniel Agyapong, Julien Chiquet, Jane Marks +1
Multivariate count models are often justified by their ability to capture latent dependence, but researchers receive little guidance on when this added structure improves on simple…
cs.LG2025
Interval Regression: A Comparative Study with Proposed Models
Tung L Nguyen, Toby Dylan Hocking
Regression models are essential for a wide range of real-world applications. However, in practice, target values are not always precisely known; instead, they may be represented as…
cs.LG2025
Learning Penalty for Optimal Partitioning via Automatic Feature Extraction
Tung L Nguyen, Toby Hocking
Changepoint detection identifies significant shifts in data sequences, making it important in areas like finance, genetics, and healthcare. The Optimal Partitioning algorithms effi…