4 papers
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…
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…
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…
Penalty Learning for Optimal Partitioning using Multilayer Perceptron
Tung L Nguyen, Toby Dylan Hocking
Changepoint detection is a technique used to identify significant shifts in sequences and is widely used in fields such as finance, genomics, and medicine. To identify the changepo…