1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
Network and interaction models for data with hierarchical granularity via fragmentation and coagulation
Lancelot F. James, Juho Lee, Nathan Ross
We introduce a nested family of Bayesian nonparametric models for network and interaction data with a hierarchical granularity structure that naturally arises through finer and coa…
Bayesian Analysis of Generalized Hierarchical Indian Buffet Processes for Within and Across Group Sharing of Latent Features
Lancelot Fitzgerald James, Juho Lee, Abhinav Pandey
Bayesian nonparametric hierarchical priors are highly effective in providing flexible models for latent data structures exhibiting sharing of information within and across groups.…