3 papers
stat.AP2026
Bayesian palaeoclimate reconstruction from zero-inflated count-compositional pollen data: A case study of Lago Grande di Monticchio in southern Italy
André F. B. Menezes, Andrew C. Parnell, Brian Huntley +1
Bayesian palaeoclimate reconstruction from fossil pollen counts relies on a modern pollen-climate calibration data set to infer the pollen-climate relationships used to reconstruct…
stat.ME2026
Bayesian nonparametric models for zero-inflated count-compositional data using ensembles of regression trees
André F. B. Menezes, Andrew C. Parnell, Keefe Murphy
Count-compositional data arise in many different fields, including high-throughput sequencing experiments, ecological surveys, and palaeoclimate studies, where a common, important…
stat.ME2025
Finite mixture representations of zero-and--inflated distributions for count-compositional data
André F. B. Menezes, Andrew C. Parnell, Keefe Murphy
We provide novel probabilistic portrayals of two multivariate models designed to handle zero-inflation in count-compositional data. We develop a new unifying framework that represe…