2 papers
stat.ML2026
Learning from Neighbors with PHIBP: Predicting Infectious Disease Dynamics in Data-Sparse Environments
Edwin Fong, Lancelot F. James, Juho Lee
Modeling sparse count data, which arise across numerous scientific fields, presents significant statistical challenges. This chapter addresses these challenges in the context of in…
stat.ML2025
Poisson Hierarchical Indian Buffet Processes-With Indications for Microbiome Species Sampling Models
Lancelot F. James, Juho Lee, Abhinav Pandey
We introduce the Poisson Hierarchical Indian Buffet Process (PHIBP), a new class of species sampling models designed to address the challenges of complex, sparse count data by faci…